<filename>report/MyLibrary.bib

@book{albingBashCookbookSolutions2018,
  title = {Bash Cookbook: Solutions and Examples for Bash Users},
  shorttitle = {Bash Cookbook},
  author = {<NAME>},
  year = {2018},
  edition = {Second edition},
  publisher = {{O'Reilly}},
  address = {{Beijing [China] ; Boston}},
  file = {/home/stefano/GoogleDrive/Research/Albing_2018_Bash cookbook.pdf},
  isbn = {978-1-4919-7533-6},
  keywords = {UNIX (Computer file),UNIX Shells,User interfaces (Computer systems)},
  lccn = {QA76.76.O63 A39886 2018}
}

@article{altschulBasicLocalAlignment1990,
  title = {Basic Local Alignment Search Tool},
  author = {Altschul, <NAME>. and <NAME> <NAME> Myers, <NAME>. and <NAME>.},
  year = {1990},
  month = oct,
  volume = {215},
  pages = {403--410},
  issn = {00222836},
  doi = {10/cnsjsz},
  file = {/home/stefano/GoogleDrive/Research/Altschul et al_1990_Basic local alignment search tool.pdf},
  journal = {Journal of Molecular Biology},
  language = {en},
  number = {3}
}

@article{ansorgeNextgenerationDNASequencing2009,
  title = {Next-Generation {{DNA}} Sequencing Techniques},
  author = {Ansorge, <NAME>.},
  year = {2009},
  month = apr,
  volume = {25},
  pages = {195--203},
  issn = {18716784},
  doi = {10/cckkbs},
  journal = {New Biotechnology},
  language = {en},
  number = {4}
}

@article{ascenziBovineBasicPancreatic2003,
  title = {The Bovine Basic Pancreatic Trypsin Inhibitor ({{Kunitz}} Inhibitor): {{A}} Milestone Protein},
  shorttitle = {The Bovine Basic Pancreatic Trypsin Inhibitor ({{Kunitz}} Inhibitor)},
  author = {<NAME> and Bocedi, <NAME> and Spallarossa, Andre and <NAME> and <NAME>},
  year = {2003},
  month = jun,
  volume = {4},
  pages = {231--251},
  publisher = {{Bentham Science Publishers B.V.}},
  issn = {1389-2037},
  doi = {10/fk8qdm},
  journal = {Current Protein and Peptide Science},
  language = {English},
  number = {3},
  pmid = {12769721}
}

@article{ashburnerGeneOntologyTool2000,
  title = {Gene {{Ontology}}: Tool for the Unification of Biology},
  shorttitle = {Gene {{Ontology}}},
  author = {Ashburner, <NAME> Ball, <NAME>. and Blake, <NAME>. and Botstein, David and Butler, Heather and <NAME> and Davis, <NAME>. and Dolinski, Kara and Dwight, <NAME>. and Eppig, <NAME>. and Harris, <NAME>. and Hill, <NAME>. and {Issel-Tarver}, Laurie and Kasarskis, Andrew and Lewis, Suzanna and Matese, <NAME>. and Richardson, <NAME>. and Ringwald, Martin and Rubin, <NAME>. and <NAME>},
  year = {2000},
  month = may,
  volume = {25},
  pages = {25--29},
  issn = {1061-4036, 1546-1718},
  doi = {10/b9gp96},
  file = {/home/stefano/GoogleDrive/Research/Ashburner et al_2000_Gene Ontology.pdf},
  journal = {Nature Genetics},
  language = {en},
  note = {ZSCC: NoCitationData[s0]},
  number = {1}
}

@article{bakerProteinStructurePrediction2001,
  title = {Protein {{Structure Prediction}} and {{Structural Genomics}}},
  author = {<NAME>. and <NAME>},
  year = {2001},
  month = oct,
  volume = {294},
  pages = {93--96},
  issn = {00368075, 10959203},
  doi = {10/cb28wr},
  file = {/home/stefano/GoogleDrive/Research/Baker_Šali_2001_Protein Structure Prediction and Structural Genomics.pdf},
  journal = {Science},
  note = {ZSCC: NoCitationData[s0]},
  number = {5540}
}

@article{baldiDeepLearningBiomedical2018,
  title = {Deep {{Learning}} in {{Biomedical Data Science}}},
  author = {<NAME>},
  year = {2018},
  month = jul,
  volume = {1},
  pages = {181--205},
  issn = {2574-3414, 2574-3414},
  doi = {10/gdvpf5},
  abstract = {Since the 1980s, deep learning and biomedical data have been coevolving and feeding each other. The breadth, complexity, and rapidly expanding size of biomedical data have stimulated the development of novel deep learning methods, and application of these methods to biomedical data have led to scientific discoveries and practical solutions. This overview provides technical and historical pointers to the field, and surveys current applications of deep learning to biomedical data organized around five subareas, roughly of increasing spatial scale: chemoinformatics, proteomics, genomics and transcriptomics, biomedical imaging, and health care. The black box problem of deep learning methods is also briefly discussed.},
  journal = {Annual Review of Biomedical Data Science},
  language = {en},
  note = {ZSCC: 0000022},
  number = {1}
}

@article{Bchm21930192,
  title = {Bchm2.1930.192.1-3.1},
  publisher = {{Interactive Factory}},
  abstract = {bchm2.1930.192.1-3.1 was published in null on page null.},
  journal = {bchm2.1930.192.1-3.1},
  language = {en\_US}
}

@article{bibikovaHighDensityDNA2011,
  title = {High Density {{DNA}} Methylation Array with Single {{CpG}} Site Resolution},
  author = {<NAME> <NAME>, <NAME>, <NAME>, <NAME>. and Delano, <NAME>, <NAME>, <NAME> Gunderson, <NAME> <NAME> <NAME>},
  year = {2011},
  month = oct,
  volume = {98},
  pages = {288--295},
  issn = {0888-7543},
  doi = {10/dvndmb},
  abstract = {We have developed a new generation of genome-wide DNA methylation BeadChip which allows high-throughput methylation profiling of the human genome. The new high density BeadChip can assay over 480K CpG sites and analyze twelve samples in parallel. The innovative content includes coverage of 99\% of RefSeq genes with multiple probes per gene, 96\% of CpG islands from the UCSC database, CpG island shores and additional content selected from whole-genome bisulfite sequencing data and input from DNA methylation experts. The well-characterized Infinium\textregistered{} Assay is used for analysis of CpG methylation using bisulfite-converted genomic DNA. We applied this technology to analyze DNA methylation in normal and tumor DNA samples and compared results with whole-genome bisulfite sequencing (WGBS) data obtained for the same samples. Highly comparable DNA methylation profiles were generated by the array and sequencing methods (average R2 of 0.95). The ability to determine genome-wide methylation patterns will rapidly advance methylation research.},
  file = {/home/stefano/GoogleDrive/Research/Bibikova et al_2011_High density DNA methylation array with single CpG site resolution.pdf},
  journal = {Genomics},
  keywords = {Array,DNA methylation,Epigenetics,Genome-wide,Infinium,Methylation profiling},
  language = {en},
  note = {ZSCC: 0001276},
  number = {4},
  series = {New {{Genomic Technologies}} and {{Applications}}}
}

@article{biopython2009,
  title = {Biopython: Freely Available {{Python}} Tools for Computational Molecular Biology and Bioinformatics},
  shorttitle = {Biopython},
  author = {Cock, <NAME>. and Antao, Tiago and Chang, <NAME>. and Chapman, <NAME>. and Cox, <NAME>. and Dalke, Andrew and Friedberg, Iddo and Hamelryck, Thomas and Kauff, Frank and Wilczynski, Bartek and {de Hoon}, <NAME>.},
  year = {2009},
  month = jun,
  volume = {25},
  pages = {1422--1423},
  publisher = {{Oxford Academic}},
  issn = {1367-4803},
  doi = {10/d7zwd2},
  abstract = {Abstract.  Summary: The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide ran},
  file = {/home/stefano/GoogleDrive/Research/Cock et al_2009_Biopython.pdf},
  journal = {Bioinformatics},
  language = {en},
  number = {11}
}

@misc{BiopythonFreelyAvailable,
  title = {Biopython: Freely Available {{Python}} Tools for Computational Molecular Biology and Bioinformatics | {{Bioinformatics}} | {{Oxford Academic}}},
  howpublished = {https://academic.oup.com/bioinformatics/article/25/11/1422/330687}
}

@article{burkiUntanglingEarlyDiversification2016,
  title = {Untangling the Early Diversification of Eukaryotes: A Phylogenomic Study of the Evolutionary Origins of {{Centrohelida}}, {{Haptophyta}} and {{Cryptista}}},
  shorttitle = {Untangling the Early Diversification of Eukaryotes},
  author = {<NAME> Kaplan, <NAME> Tikhonenkov, <NAME> Zlatogursky, <NAME>, <NAME> Radaykina, <NAME> Smirnov, <NAME>, <NAME> Keeling, <NAME>.},
  year = {2016},
  month = jan,
  volume = {283},
  pages = {20152802},
  issn = {0962-8452, 1471-2954},
  doi = {10/ggsqc7},
  file = {/home/stefano/GoogleDrive/Research/Burki et al_2016_Untangling the early diversification of eukaryotes.pdf},
  journal = {Proceedings of the Royal Society B: Biological Sciences},
  language = {en},
  number = {1823}
}

@article{capriottiSARAServerFunction2009,
  title = {{{SARA}}: A Server for Function Annotation of {{RNA}} Structures},
  shorttitle = {{{SARA}}},
  author = {<NAME>. and {Marti-Renom}, <NAME>.},
  year = {2009},
  month = jul,
  volume = {37},
  pages = {W260-W265},
  issn = {0305-1048, 1362-4962},
  doi = {10/d36p3k},
  file = {/home/stefano/GoogleDrive/Research/Capriotti_Marti-Renom_2009_SARA.pdf},
  journal = {Nucleic Acids Research},
  language = {en},
  note = {ZSCC: 0000048},
  number = {Web Server}
}

@article{cath1997,
  title = {{{CATH}} \textendash{} a Hierarchic Classification of Protein Domain Structures},
  author = {Orengo, CA and <NAME> <NAME> <NAME> <NAME> <NAME>},
  year = {1997},
  month = aug,
  volume = {5},
  pages = {1093--1109},
  issn = {0969-2126},
  doi = {10/b9nj9q},
  abstract = {Background: Protein evolution gives rise to families of structurally related proteins, within which sequence identities can be extremely low. As a result, structure-based classifications can be effective at identifying unanticipated relationships in known structures and in optimal cases function can also be assigned. The ever increasing number of known protein structures is too large to classify all proteins manually, therefore, automatic methods are needed for fast evaluation of protein structures. Results: We present a semi-automatic procedure for deriving a novel hierarchical classification of protein domain structures (CATH). The four main levels of our classification are protein class (C), architecture (A), topology (T) and homologous superfamily (H). Class is the simplest level, and it essentially describes the secondary structure composition of each domain. In contrast, architecture summarises the shape revealed by the orientations of the secondary structure units, such as barrels and sandwiches. At the topology level, sequential connectivity is considered, such that members of the same architecture might have quite different topologies. When structures belonging to the same T-level have suitably high similarities combined with similar functions, the proteins are assumed to be evolutionarily related and put into the same homologous superfamily. Conclusions: Analysis of the structural families generated by CATH reveals the prominent features of protein structure space. We find that nearly a third of the homologous superfamilies (H-levels) belong to ten major T-levels, which we call superfolds, and furthermore that nearly two-thirds of these H-levels cluster into nine simple architectures. A database of well-characterised protein structure families, such as CATH, will facilitate the assignment of structure\textendash{}function/ evolution relationships to both known and newly determined protein structures.},
  file = {/home/stefano/GoogleDrive/Research/Orengo et al_1997_CATH – a hierarchic classification of protein domain structures.pdf},
  journal = {Structure},
  keywords = {evolution,fold families,protein structure classification},
  language = {en},
  number = {8}
}

@article{cdhit2006,
  title = {Cd-Hit: A Fast Program for Clustering and Comparing Large Sets of Protein or Nucleotide Sequences},
  shorttitle = {Cd-Hit},
  author = {<NAME> and <NAME>},
  year = {2006},
  month = jul,
  volume = {22},
  pages = {1658--1659},
  publisher = {{Oxford Academic}},
  issn = {1367-4803},
  doi = {10/ct8g72},
  abstract = {Abstract.  Motivation: In 2001 and 2002, we published two papers (Bioinformatics, 17, 282\textendash{}283, Bioinformatics, 18, 77\textendash{}82) describing an ultrafast protein sequen},
  file = {/home/stefano/GoogleDrive/Research/Li_Godzik_2006_Cd-hit.pdf},
  journal = {Bioinformatics},
  language = {en},
  number = {13}
}

@article{cezeMolecularDigitalData2019,
  title = {Molecular Digital Data Storage Using {{DNA}}},
  author = {<NAME> and Nivala, Jeff and <NAME>},
  year = {2019},
  month = aug,
  volume = {20},
  pages = {456--466},
  issn = {1471-0056, 1471-0064},
  doi = {10/ggpdds},
  journal = {Nature Reviews Genetics},
  language = {en},
  note = {ZSCC: 0000033},
  number = {8}
}

@incollection{chandrasekaranPharmacophoreDevelopment2019,
  title = {Pharmacophore {{Development}}},
  booktitle = {Encyclopedia of {{Bioinformatics}} and {{Computational Biology}}},
  author = {<NAME> and <NAME> and <NAME>},
  year = {2019},
  pages = {677--687},
  publisher = {{Elsevier}},
  doi = {10.1016/B978-0-12-809633-8.20276-8},
  file = {/home/stefano/GoogleDrive/Research/Chandrasekaran et al_2019_Pharmacophore Development.pdf},
  isbn = {978-0-12-811432-2},
  language = {en},
  note = {ZSCC: 0000003}
}

@article{chothiaRelationDivergenceSequence1986,
  title = {The Relation between the Divergence of Sequence and Structure in Proteins.},
  author = {<NAME>. and <NAME>.},
  year = {1986},
  month = apr,
  volume = {5},
  pages = {823--826},
  issn = {02614189},
  doi = {10/ggrs4j},
  file = {/home/stefano/GoogleDrive/Research/Chothia_Lesk_1986_The relation between the divergence of sequence and structure in proteins.pdf},
  journal = {The EMBO Journal},
  language = {en},
  number = {4}
}

@book{cormenIntroductionAlgorithms2009,
  title = {Introduction to Algorithms},
  editor = {<NAME>.},
  year = {2009},
  edition = {3rd ed},
  publisher = {{MIT Press}},
  address = {{Cambridge, Mass}},
  file = {/home/stefano/GoogleDrive/Research/Cormen_2009_Introduction to algorithms.pdf;/home/stefano/GoogleDrive/Research/Cormen_2009_Introduction to algorithms2.pdf},
  isbn = {978-0-262-03384-8 978-0-262-53305-8},
  keywords = {Computer algorithms,Computer programming},
  lccn = {QA76.6 .C662 2009},
  note = {OCLC: ocn311310321}
}

@article{dundasTopologyIndependentProtein2007,
  title = {Topology Independent Protein Structural Alignment},
  author = {<NAME> <NAME> DasGupta, <NAME>},
  year = {2007},
  volume = {8},
  pages = {388},
  issn = {1471-2105},
  doi = {10/dnz92h},
  file = {/home/stefano/GoogleDrive/Research/Dundas et al_2007_Topology independent protein structural alignment.pdf},
  journal = {BMC Bioinformatics},
  language = {en},
  number = {1}
}

@book{durbinBiologicalSequenceAnalysis1998,
  title = {Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids},
  shorttitle = {Biological Sequence Analysis},
  author = {<NAME>},
  year = {1998},
  abstract = {Presents up-to-date computer methods for analysing DNA, RNA and protein sequences. Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.},
  file = {/home/stefano/GoogleDrive/Research/Durbin_1998_Biological sequence analysis.pdf},
  isbn = {978-0-511-64871-7 978-0-511-33708-6 978-0-511-79049-2 978-0-511-33643-0},
  language = {English},
  note = {OCLC: 593254083}
}

@article{edgarMUSCLEMultipleSequence2004,
  title = {{{MUSCLE}}: Multiple Sequence Alignment with High Accuracy and High Throughput},
  shorttitle = {{{MUSCLE}}},
  author = {<NAME>.},
  year = {2004},
  month = mar,
  volume = {32},
  pages = {1792--1797},
  issn = {1362-4962},
  doi = {10/dz84kz},
  file = {/home/stefano/GoogleDrive/Research/Edgar_2004_MUSCLE.pdf},
  journal = {Nucleic Acids Research},
  language = {en},
  number = {5}
}

@misc{ElsevierEnhancedReader,
  title = {Elsevier {{Enhanced Reader}}},
  doi = {10.1016/S0969-2126(97)00260-8},
  file = {/home/stefano/snap/zotero-snap/common/Zotero/storage/JHE2Q56A/S0969212697002608.html},
  howpublished = {https://reader.elsevier.com/reader/sd/pii/S0969212697002608?token=<PASSWORD>F<PASSWORD>3<PASSWORD>48A3A12177D6D0359BBA4E559519ADF90444C809E405686C13C3AAC10},
  language = {en}
}

@article{eraslanDeepLearningNew2019,
  title = {Deep Learning: New Computational Modelling Techniques for Genomics},
  shorttitle = {Deep Learning},
  author = {<NAME> Avsec, {\<NAME> Gagneur, <NAME>, <NAME>.},
  year = {2019},
  month = jul,
  volume = {20},
  pages = {389--403},
  issn = {1471-0056, 1471-0064},
  doi = {10/gfzbf3},
  journal = {Nature Reviews Genetics},
  language = {en},
  note = {ZSCC: 0000115},
  number = {7}
}

@article{gaultonChEMBLDatabase20172017,
  title = {The {{ChEMBL}} Database in 2017},
  author = {Gaulton, Anna and Hersey, Anne and Nowotka, Micha{\l} and <NAME>{\'i}cia and Chambers, Jon and Mendez, David and Mutowo, Prudence and Atkinson, Francis and Bellis, <NAME>. and {Cibri{\'a}n-Uhalte}, Elena and Davies, Mark and Dedman, Nathan and Karlsson, Anneli and Magari{\~n}os, Mar{\'i}<NAME> and Overington, <NAME>. and Papadatos, George and Smit, Ines and Leach, <NAME>.},
  year = {2017},
  month = jan,
  volume = {45},
  pages = {D945-D954},
  issn = {0305-1048, 1362-4962},
  doi = {10/f9v6kj},
  file = {/home/stefano/GoogleDrive/Research/Gaulton et al_2017_The ChEMBL database in 2017.pdf},
  journal = {Nucleic Acids Research},
  language = {en},
  number = {D1}
}

@article{halperinPrinciplesDockingOverview2002,
  title = {Principles of Docking: {{An}} Overview of Search Algorithms and a Guide to Scoring Functions},
  shorttitle = {Principles of Docking},
  author = {<NAME> <NAME> <NAME> <NAME>},
  year = {2002},
  month = jun,
  volume = {47},
  pages = {409--443},
  issn = {0887-3585, 1097-0134},
  doi = {10/d2cnpx},
  file = {/home/stefano/GoogleDrive/Research/Halperin et al_2002_Principles of docking2.pdf},
  journal = {Proteins: Structure, Function, and Genetics},
  language = {en},
  note = {ZSCC: 0001459},
  number = {4}
}

@article{henikoffAminoAcidSubstitution1992,
  title = {Amino Acid Substitution Matrices from Protein Blocks.},
  author = {<NAME>. and <NAME>.},
  year = {1992},
  month = nov,
  volume = {89},
  pages = {10915--10919},
  issn = {0027-8424, 1091-6490},
  doi = {10/crg4fb},
  file = {/home/stefano/GoogleDrive/Research/Henikoff_Henikoff_1992_Amino acid substitution matrices from protein blocks.pdf},
  journal = {Proceedings of the National Academy of Sciences},
  language = {en},
  note = {ZSCC: 0006623},
  number = {22}
}

@article{huangTimeefficientLinearspaceLocal1991,
  title = {A Time-Efficient, Linear-Space Local Similarity Algorithm},
  author = {<NAME> and <NAME>},
  year = {1991},
  month = sep,
  volume = {12},
  pages = {337--357},
  issn = {01968858},
  doi = {10/b6b2fz},
  file = {/home/stefano/GoogleDrive/Research/Huang_Miller_1991_A time-efficient, linear-space local similarity algorithm.pdf},
  journal = {Advances in Applied Mathematics},
  language = {en},
  note = {ZSCC: 0001106},
  number = {3}
}

@article{internationalhumangenomesequencingconsortiumInitialSequencingAnalysis2001,
  title = {Initial Sequencing and Analysis of the Human Genome},
  author = {{International Human Genome Sequencing Consortium}},
  year = {2001},
  month = feb,
  volume = {409},
  pages = {860--921},
  issn = {0028-0836, 1476-4687},
  doi = {10/bfpgjh},
  file = {/home/stefano/GoogleDrive/Research/International Human Genome Sequencing Consortium_2001_Initial sequencing and analysis of the human genome.pdf},
  journal = {Nature},
  language = {en},
  number = {6822}
}

@article{jalview2009,
  title = {Jalview {{Version}} 2\textemdash{}a Multiple Sequence Alignment Editor and Analysis Workbench},
  author = {Waterhouse, <NAME>. and Procter, <NAME>. and <NAME>. and <NAME>{\`<NAME> Barton, <NAME>.},
  year = {2009},
  month = may,
  volume = {25},
  pages = {1189--1191},
  publisher = {{Oxford Academic}},
  issn = {1367-4803},
  doi = {10/bj7pkj},
  abstract = {Abstract.  Summary: Jalview Version 2 is a system for interactive WYSIWYG editing, analysis and annotation of multiple sequence alignments. Core features includ},
  file = {/home/stefano/GoogleDrive/Research/Waterhouse et al_2009_Jalview Version 2—a multiple sequence alignment editor and analysis workbench.pdf},
  journal = {Bioinformatics},
  language = {en},
  number = {9}
}

@article{karlinMethodsAssessingStatistical1990,
  title = {Methods for Assessing the Statistical Significance of Molecular Sequence Features by Using General Scoring Schemes.},
  author = {<NAME>. and <NAME>.},
  year = {1990},
  month = mar,
  volume = {87},
  pages = {2264--2268},
  issn = {0027-8424, 1091-6490},
  doi = {10/bmcmzb},
  file = {/home/stefano/GoogleDrive/Research/Karlin_Altschul_1990_Methods for assessing the statistical significance of molecular sequence.pdf},
  journal = {Proceedings of the National Academy of Sciences},
  language = {en},
  number = {6}
}

@article{katohMAFFTNovelMethod2002,
  title = {{{MAFFT}}: A Novel Method for Rapid Multiple Sequence Alignment Based on Fast {{Fourier}} Transform},
  shorttitle = {{{MAFFT}}},
  author = {<NAME> and <NAME> <NAME> and <NAME>},
  year = {2002},
  month = jul,
  volume = {30},
  pages = {3059--3066},
  publisher = {{Oxford Academic}},
  issn = {0305-1048},
  doi = {10/dbpmq3},
  abstract = {Abstract.  A multiple sequence alignment program, MAFFT, has been developed. The CPU time is drastically reduced as compared with existing methods. MAFFT includ},
  file = {/home/stefano/GoogleDrive/Research/Katoh et al_2002_MAFFT.pdf;/home/stefano/snap/zotero-snap/common/Zotero/storage/NB8WUU5I/2904316.html},
  journal = {Nucleic Acids Research},
  language = {en},
  note = {ZSCC: 0008101},
  number = {14}
}

@article{kimGuideGenomeEngineering2014,
  title = {A Guide to Genome Engineering with Programmable Nucleases},
  author = {<NAME> and <NAME>},
  year = {2014},
  month = may,
  volume = {15},
  pages = {321--334},
  issn = {1471-0056, 1471-0064},
  doi = {10/f5zktb},
  journal = {Nature Reviews Genetics},
  language = {en},
  note = {ZSCC: 0000895},
  number = {5}
}

@article{kimRevisingPersonalGenome2013,
  title = {Revising a {{Personal Genome}} by {{Comparing}} and {{Combining Data}} from {{Two Different Sequencing Platforms}}},
  author = {<NAME> and <NAME> and <NAME> and <NAME> and <NAME> and <NAME> and <NAME> and <NAME> and <NAME> and <NAME> and Lee, <NAME> and <NAME>},
  editor = {<NAME>},
  year = {2013},
  month = apr,
  volume = {8},
  pages = {e60585},
  issn = {1932-6203},
  doi = {10/f4sx9j},
  file = {/home/stefano/GoogleDrive/Research/Kim et al_2013_Revising a Personal Genome by Comparing and Combining Data from Two Different.pdf},
  journal = {PLoS ONE},
  language = {en},
  number = {4}
}

@article{kocakIncreasingSpecificityCRISPR2019,
  title = {Increasing the Specificity of {{CRISPR}} Systems with Engineered {{RNA}} Secondary Structures},
  author = {<NAME> and Josephs, <NAME>. and Bhandarkar, Vidit and Adkar, <NAME>. and Kwon, <NAME>. and Gersbach, <NAME>.},
  year = {2019},
  month = jun,
  volume = {37},
  pages = {657--666},
  issn = {1087-0156, 1546-1696},
  doi = {10/ggrsgj},
  file = {/home/stefano/GoogleDrive/Research/Kocak et al_2019_Increasing the specificity of CRISPR systems with engineered RNA secondary.pdf},
  journal = {Nature Biotechnology},
  language = {en},
  note = {ZSCC: 0000047},
  number = {6}
}

@article{krautUberInaktivierungKallikreins1930,
  title = {\"Uber Die {{Inaktivierung}} Des {{Kallikreins}}.({{VI}}. {{Mitteilung \"Uber}} Dieses {{Kreislaufhormon}}.)},
  author = {<NAME> <NAME> <NAME>},
  year = {1930},
  volume = {192},
  pages = {1--21},
  doi = {10/dv32x8},
  journal = {Hoppe-Seyler\textbackslash{}' s Zeitschrift f\"ur physiologische Chemie},
  number = {1-3}
}

@article{kroghHiddenMarkovModels1994,
  title = {Hidden {{Markov Models}} in {{Computational Biology}}},
  author = {<NAME> Brown, <NAME> <NAME> Sj{\"o}lander, <NAME> <NAME>},
  year = {1994},
  month = feb,
  volume = {235},
  pages = {1501--1531},
  issn = {00222836},
  doi = {10/cr58gv},
  file = {/home/stefano/GoogleDrive/Research/Krogh et al_1994_Hidden Markov Models in Computational Biology.pdf},
  journal = {Journal of Molecular Biology},
  language = {en},
  note = {ZSCC: NoCitationData[s0]},
  number = {5}
}

@article{kuhlbrandtResolutionRevolution2014,
  title = {The {{Resolution Revolution}}},
  author = {<NAME>.},
  year = {2014},
  month = mar,
  volume = {343},
  pages = {1443--1444},
  issn = {0036-8075, 1095-9203},
  doi = {10/gd6fpr},
  file = {/home/stefano/GoogleDrive/Research/Kuhlbrandt_2014_The Resolution Revolution.pdf},
  journal = {Science},
  language = {en},
  number = {6178}
}

@article{kunitzISOLATIONBEEFPANCREAS1936,
  title = {{{ISOLATION FROM BEEF PANCREAS OF CRYSTALLINE TRYPSINOGEN}}, {{TRYPSIN}}, {{A TRYPSIN INHIBITOR}}, {{AND AN INHIBITOR}}-{{TRYPSIN COMPOUND}}},
  author = {<NAME>. and Northrop, <NAME>.},
  year = {1936},
  month = jul,
  volume = {19},
  pages = {991--1007},
  issn = {1540-7748, 0022-1295},
  doi = {10/bqz87d},
  abstract = {Methods are described for the isolation and crystallization of trypsinogen, trypsin, a substance which inhibits trypsin, and an inhibitor-trypsin compound. Analyses and some of the properties of these compounds are given.},
  file = {/home/stefano/GoogleDrive/Research/Kunitz_Northrop_1936_ISOLATION FROM BEEF PANCREAS OF CRYSTALLINE TRYPSINOGEN, TRYPSIN, A TRYPSIN3.pdf},
  journal = {The Journal of General Physiology},
  language = {en},
  number = {6}
}

@article{leeMethodsDetectAnalyze2008,
  title = {Methods to Detect and Analyze Copy Number Variations at the Genome-Wide and Locus-Specific Levels},
  author = {<NAME>. and <NAME>.},
  year = {2008},
  volume = {123},
  pages = {333--342},
  issn = {1424-8581, 1424-859X},
  doi = {10/dr6mfw},
  journal = {Cytogenetic and Genome Research},
  language = {en},
  number = {1-4}
}

@article{leungFundamentalsCDNAMicroarray2003,
  title = {Fundamentals of {{cDNA}} Microarray Data Analysis},
  author = {Leung, <NAME> and <NAME>},
  year = {2003},
  month = nov,
  volume = {19},
  pages = {649--659},
  issn = {0168-9525},
  doi = {10/fj4vn6},
  abstract = {Microarray technology is a powerful approach for genomics research. The multi-step, data-intensive nature of this technology has created an unprecedented informatics and analytical challenge. It is important to understand the crucial steps that can affect the outcome of the analysis. In this review, we provide an overview of the contemporary trend on various main analysis steps in the microarray data analysis process, which includes experimental design, data standardization, image acquisition and analysis, normalization, statistical significance inference, exploratory data analysis, class prediction and pathway analysis, as well as various considerations relevant to their implementation.},
  file = {/home/stefano/GoogleDrive/Research/Leung_Cavalieri_2003_Fundamentals of cDNA microarray data analysis.pdf},
  journal = {Trends in Genetics},
  language = {en},
  note = {ZSCC: 0000446},
  number = {11}
}

@article{lipshutzHighDensitySynthetic1999,
  title = {High Density Synthetic Oligonucleotide Arrays},
  author = {Lipshutz, <NAME>. and Fodor, <NAME>. and Gingeras, <NAME>. and Lockhart, <NAME>.},
  year = {1999},
  month = jan,
  volume = {21},
  pages = {20--24},
  publisher = {{Nature Publishing Group}},
  issn = {1546-1718},
  doi = {10/cfz3xb},
  abstract = {Experimental genomics involves taking advantage of sequence information to investigate and understand the workings of genes, cells and organisms. We have developed an approach in which sequence information is used directly to design high\textendash{}density, two\textendash{}dimensional arrays of synthetic oligonucleotides. The GeneChip\textregistered{} probe arrays are made using spatially patterned, light\textendash{}directed combinatorial chemical synthesis, and contain up to hundreds of thousands of different oligonucleotides on a small glass surface. The arrays have been designed and used for quantitative and highly parallel measurements of gene expression, to discover polymorphic loci and to detect the presence of thousands of alternative alleles. Here, we describe the fabrication of the arrays, their design and some specific applications to high\textendash{}throughput genetic and cellular analysis.},
  copyright = {1999 Nature America Inc.},
  file = {/home/stefano/GoogleDrive/Research/Lipshutz et al_1999_High density synthetic oligonucleotide arrays.pdf},
  journal = {Nature Genetics},
  language = {en},
  note = {ZSCC: 0003061},
  number = {1}
}

@article{liuComparisonNextGenerationSequencing2012,
  title = {Comparison of {{Next}}-{{Generation Sequencing Systems}}},
  author = {<NAME> <NAME> and <NAME> and <NAME> and <NAME> and <NAME> <NAME> and <NAME> and <NAME>},
  year = {2012},
  volume = {2012},
  pages = {1--11},
  issn = {1110-7243, 1110-7251},
  doi = {10/gb8mhs},
  abstract = {With fast development and wide applications of next-generation sequencing (NGS) technologies, genomic sequence information is within reach to aid the achievement of goals to decode life mysteries, make better crops, detect pathogens, and improve life qualities. NGS systems are typically represented by SOLiD/Ion Torrent PGM from Life Sciences, Genome Analyzer/HiSeq 2000/MiSeq from Illumina, and GS FLX Titanium/GS Junior from Roche. Beijing Genomics Institute (BGI), which possesses the world's biggest sequencing capacity, has multiple NGS systems including 137 HiSeq 2000, 27 SOLiD, one Ion Torrent PGM, one MiSeq, and one 454 sequencer. We have accumulated extensive experience in sample handling, sequencing, and bioinformatics analysis. In this paper, technologies of these systems are reviewed, and first-hand data from extensive experience is summarized and analyzed to discuss the advantages and specifics associated with each sequencing system. At last, applications of NGS are summarized.},
  file = {/home/stefano/GoogleDrive/Research/Liu et al_2012_Comparison of Next-Generation Sequencing Systems.pdf},
  journal = {Journal of Biomedicine and Biotechnology},
  language = {en}
}

@book{lubanovicIntroducingPythonModern2020,
  title = {Introducing {{Python}}: Modern Computing in Simple Packages},
  shorttitle = {Introducing {{Python}}},
  author = {<NAME>},
  year = {2020},
  publisher = {{O'Reilly Media}},
  address = {{Beijing}},
  file = {/home/stefano/GoogleDrive/Research/Lubanovic_2020_Introducing Python.pdf},
  isbn = {978-1-4920-5134-3 978-1-4920-5132-9},
  language = {English},
  note = {OCLC: 1127261547}
}

@book{luoCRISPRGeneEditing2019,
  title = {{{CRISPR Gene Editing}}: {{Methods}} and {{Protocols}}},
  shorttitle = {{{CRISPR Gene Editing}}},
  editor = {<NAME>},
  year = {2019},
  volume = {1961},
  publisher = {{Springer New York}},
  address = {{New York, NY}},
  isbn = {978-1-4939-9169-3 978-1-4939-9170-9},
  language = {en},
  series = {Methods in {{Molecular Biology}}}
}

@book{lutzLearningPython2013,
  title = {Learning {{Python}}},
  author = {<NAME>},
  year = {2013},
  edition = {Fifth edition},
  publisher = {{O'Reilly}},
  address = {{Beijing}},
  file = {/home/stefano/GoogleDrive/Research/Lutz_2013_Learning Python.pdf},
  isbn = {978-1-4493-5573-9},
  keywords = {Object-oriented programming (Computer science),Python (Computer program language)},
  lccn = {QA76.73.P98 L877 2013},
  note = {ZSCC: 0000870}
}

@book{lutzProgrammingPython2017,
  title = {Programming {{Python}}},
  author = {<NAME>},
  year = {2017},
  edition = {Fourth edition},
  publisher = {{O'Reilly}},
  address = {{Beijing Bosotn Farnham Sebastopol Tokyo}},
  file = {/home/stefano/GoogleDrive/Research/Lutz_2017_Programming Python.pdf},
  isbn = {978-0-596-15810-1},
  language = {eng}
}

@book{maganaVersionControlGit2018,
  title = {Version Control with {{Git}} and {{GitHub}}},
  author = {<NAME> and <NAME>},
  year = {2018},
  abstract = {Learn to create and enforce checks and controls for tracking, merging, and approval of changes in your source code Key Features Explore version control, its importance, and usage Learn to use Git individually and as part of a team Understand debugging, maintenance, and deployment with Git and GitHub Book Description Introduction to Git and GitHub begins with setting up and configuring Git on your computer along with creating a repository and using it for exercises throughout the book. With the help of multiple activities, you'll learn concepts that show various stages of a file-from when it is untracked to when it is set for tracking under version control. As you make your way through the chapters, you'll learn to navigate through the history of a repository, fetch and deliver code to GitHub, and undo code changes. The first half of the book ends with you learning to work with branches, storing and retrieving changes temporarily, and merging the desired changes into a repository. In the second half, you'll learn about forking as part of a collaborative workflow. You'll also address modularity and duplication through submodules, tracing and rectifying faulty changes, and maintaining repositories. By the end of this book, you will have learned how to effectively deploy applications using GitHub. What you will learn Understand and implement best practices in version control Explain the GitHub User Interface Understand what is Feature Branch Workflow and implement its features Use forking features, such as submodules and rebasing Master commands for debugging and maintaining a repository Implement continuous integration with CircleCi or TravisCi Gain insight into release management and how GitHub enables software releases Who this book is for If you want to migrate from other version control tools or want to learn more about Git, Introduction to Git and GitHub is for you. Prior experience in coding or familiarity with using the Bash command line interface will help you easily grasp concepts. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.},
  file = {/home/stefano/GoogleDrive/Research/Magana_Muli_2018_Version control with Git and GitHub.pdf},
  isbn = {978-1-78980-073-9},
  language = {en},
  note = {OCLC: 1085010017}
}

@article{mardisDecadePerspectiveDNA2011,
  title = {A Decade's Perspective on {{DNA}} Sequencing Technology},
  author = {Mardis, <NAME>.},
  year = {2011},
  month = feb,
  volume = {470},
  pages = {198--203},
  issn = {0028-0836, 1476-4687},
  doi = {10/dmfrwz},
  journal = {Nature},
  language = {en},
  number = {7333}
}

@article{matplotlib2007,
  title = {Matplotlib: {{A 2D Graphics Environment}}},
  shorttitle = {Matplotlib},
  author = {Hunter, <NAME>.},
  year = {2007},
  month = may,
  volume = {9},
  pages = {90--95},
  issn = {1558-366X},
  doi = {10/drbjhg},
  abstract = {Matplotlib is a 2D graphics package used for Python for application development, interactive scripting,and publication-quality image generation across user interfaces and operating systems},
  journal = {Computing in Science Engineering},
  keywords = {2D graphics package,application development,computer graphics,Computer languages,Equations,Graphical user interfaces,Graphics,Image generation,interactive scripting,Interpolation,mathematics computing,Matplotlib,object-oriented programming,operating system,Operating systems,Packaging,Programming profession,publication-quality image generation,Python,scientific programming,scripting languages,software packages,user interface,User interfaces},
  number = {3}
}

@book{meyerkordProteinProteinInteractions2015,
  title = {Protein-{{Protein Interactions}}},
  editor = {Meyerkord, <NAME>. and <NAME>},
  year = {2015},
  volume = {1278},
  publisher = {{Springer New York}},
  address = {{New York, NY}},
  doi = {10.1007/978-1-4939-2425-7},
  file = {/home/stefano/GoogleDrive/Research/Meyerkord_Fu_2015_Protein-Protein Interactions.pdf},
  isbn = {978-1-4939-2424-0 978-1-4939-2425-7},
  language = {en},
  note = {ZSCC: 0000008},
  series = {Methods in {{Molecular Biology}}}
}

@article{morrisAutoDock4AutoDockTools4Automated2009,
  title = {{{AutoDock4}} and {{AutoDockTools4}}: {{Automated}} Docking with Selective Receptor Flexibility},
  shorttitle = {{{AutoDock4}} and {{AutoDockTools4}}},
  author = {Morris, <NAME> <NAME> Lindstrom, <NAME>, <NAME>, <NAME> Goodsell, <NAME> Olson, <NAME>.},
  year = {2009},
  volume = {30},
  pages = {2785--2791},
  issn = {1096-987X},
  doi = {10/dvtqjs},
  abstract = {We describe the testing and release of AutoDock4 and the accompanying graphical user interface AutoDockTools. AutoDock4 incorporates limited flexibility in the receptor. Several tests are reported here, including a redocking experiment with 188 diverse ligand-protein complexes and a cross-docking experiment using flexible sidechains in 87 HIV protease complexes. We also report its utility in analysis of covalently bound ligands, using both a grid-based docking method and a modification of the flexible sidechain technique. \textcopyright{} 2009 Wiley Periodicals, Inc. J Comput Chem, 2009},
  file = {/home/stefano/GoogleDrive/Research/Morris et al_2009_AutoDock4 and AutoDockTools4.pdf},
  journal = {Journal of Computational Chemistry},
  keywords = {AutoDock,computational docking,computer-aided drug design,covalent ligands,protein flexibility},
  language = {en},
  note = {ZSCC: 0009260 
\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.21256},
  number = {16}
}

@article{nairSequenceConservedSubcellular2009,
  title = {Sequence Conserved for Subcellular Localization},
  author = {<NAME> and <NAME>},
  year = {2009},
  month = apr,
  volume = {11},
  pages = {2836--2847},
  issn = {09618368},
  doi = {10.1110/ps.0207402},
  file = {/home/stefano/GoogleDrive/Research/Nair_Rost_2009_Sequence conserved for subcellular localization.pdf},
  journal = {Protein Science},
  language = {en},
  note = {ZSCC: NoCitationData[s0]},
  number = {12}
}

@book{naray-szaboProteinModelling2014,
  title = {Protein {{Modelling}}},
  editor = {{N{\'a}ray-Szab{\'o}}, G{\'a}bor},
  year = {2014},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-319-09976-7},
  file = {/home/stefano/GoogleDrive/Research/Náray-Szabó_2014_Protein Modelling.pdf},
  isbn = {978-3-319-09975-0 978-3-319-09976-7},
  language = {en},
  note = {ZSCC: 0000006}
}

@article{needlemanGeneralMethodApplicable1970,
  title = {A General Method Applicable to the Search for Similarities in the Amino Acid Sequence of Two Proteins},
  author = {Needleman, <NAME>. and Wunsch, <NAME>.},
  year = {1970},
  month = mar,
  volume = {48},
  pages = {443--453},
  issn = {00222836},
  doi = {10/c586m8},
  file = {/home/stefano/GoogleDrive/Research/Needleman_Wunsch_1970_A general method applicable to the search for similarities in the amino acid.pdf},
  journal = {Journal of Molecular Biology},
  language = {en},
  note = {ZSCC: 0013214},
  number = {3}
}

@book{neilPracticalVimEdit2015,
  title = {Practical {{Vim}}: Edit {{Text}} at the Speed of Thought},
  shorttitle = {Practical {{Vim}}},
  author = {<NAME>},
  year = {2015},
  edition = {Second edition},
  publisher = {{The Pragmatic Bookshelf}},
  address = {{Raleigh, North Carolina}},
  file = {/home/stefano/GoogleDrive/Research/Neil_2015_Practical Vim.pdf},
  isbn = {978-1-68050-127-8},
  note = {OCLC: 927915030},
  series = {The {{Pragmatic Programmers}}}
}

@book{neriLinearAlgebraComputational2019,
  title = {Linear {{Algebra}} for {{Computational Sciences}} and {{Engineering}}},
  author = {<NAME>},
  year = {2019},
  publisher = {{Springer International Publishing}},
  address = {{Cham}},
  doi = {10.1007/978-3-030-21321-3},
  file = {/home/stefano/GoogleDrive/Research/Neri_2019_Linear Algebra for Computational Sciences and Engineering.pdf},
  isbn = {978-3-030-21320-6 978-3-030-21321-3},
  language = {en}
}

@article{notredameTcoffeeNovelMethod2000,
  title = {T-Coffee: A Novel Method for Fast and Accurate Multiple Sequence Alignment 1 {{1Edited}} by {{J}}. {{Thornton}}},
  shorttitle = {T-Coffee},
  author = {<NAME>, <NAME>},
  year = {2000},
  month = sep,
  volume = {302},
  pages = {205--217},
  issn = {00222836},
  doi = {10/b5xnb4},
  file = {/home/stefano/GoogleDrive/Research/Notredame et al_2000_T-coffee.pdf},
  journal = {Journal of Molecular Biology},
  language = {en},
  number = {1}
}

@article{orchardMIntActProjectIntAct2014,
  title = {The {{MIntAct}} Project\textemdash{{IntAct}} as a Common Curation Platform for 11 Molecular Interaction Databases},
  author = {Orchard, Sandra and Ammari, Mais and Aranda, Bruno and Breuza, Lionel and Briganti, Leonardo and {Broackes-Carter}, Fiona and Campbell, <NAME>. and <NAME> and Chen, Carol and {del-Toro}, Noemi and Duesbury, Margaret and Dumousseau, Marine and Galeota, Eugenia and Hinz, Ursula and Iannuccelli, Marta and Jagannathan, Sruthi and Jimenez, Rafael and Khadake, Jyoti and Lagreid, Astrid and Licata, <NAME>, <NAME>. and Meldal, <NAME>, <NAME>. and Milagros, Mila and Peluso, Daniele and Perfetto, Livia and Porras, Pablo and Raghunath, Arathi and {Ricard-Blum}, Sylvie and Roechert, Bernd and Stutz, Andre and Tognolli, Michael and {<NAME>}, Kim and Cesareni, Gianni and Hermjakob, Henning},
  year = {2014},
  month = jan,
  volume = {42},
  pages = {D358-D363},
  issn = {0305-1048, 1362-4962},
  doi = {10/f5sd3m},
  file = {/home/stefano/GoogleDrive/Research/Orchard et al_2014_The MIntAct project—IntAct as a common curation platform for 11 molecular.pdf},
  journal = {Nucleic Acids Research},
  language = {en},
  number = {D1}
}

@article{ortizMAMMOTHMatchingMolecular2009,
  title = {{{MAMMOTH}} ({{Matching}} Molecular Models Obtained from Theory): {{An}} Automated Method for Model Comparison},
  shorttitle = {{{MAMMOTH}} ({{Matching}} Molecular Models Obtained from Theory)},
  author = {Ortiz, <NAME>. and Strauss, <NAME>. and <NAME>},
  year = {2009},
  month = apr,
  volume = {11},
  pages = {2606--2621},
  issn = {09618368},
  doi = {10.1110/ps.0215902},
  file = {/home/stefano/GoogleDrive/Research/Ortiz et al_2009_MAMMOTH (Matching molecular models obtained from theory).pdf},
  journal = {Protein Science},
  language = {en},
  number = {11}
}

@article{pageBiosynthesisEnzymologyCaenorhabditis2006,
  title = {Biosynthesis and Enzymology of the {{Caenorhabditis}} Elegans Cuticle: {{Identification}} and Characterization of a Novel Serine Protease Inhibitor},
  shorttitle = {Biosynthesis and Enzymology of the {{Caenorhabditis}} Elegans Cuticle},
  author = {<NAME>. and <NAME> <NAME>.},
  year = {2006},
  month = may,
  volume = {36},
  pages = {681--689},
  issn = {0020-7519},
  doi = {10/cc87ss},
  abstract = {Caenorhabditis elegans represents an excellent model in which to dissect the biosynthesis and assembly of the nematode cuticle. A sequenced genome, straightforward transgenesis, available mutants and practical genome-wide RNAi approaches provide an invaluable toolkit in the characterization of cuticle components. We have performed a targeted RNAi screen in an attempt to identify components of the cuticle collagen biosynthetic pathway. Collagen biosynthesis and cuticle assembly are multi-step processes that involve numerous key enzymes involved in post-translational modification, trimer folding, procollagen processing and subsequent cross-linking stages. For many of these steps, the modifications and the enzymes are unique to nematodes and may represent attractive targets for the control of parasitic nematodes. A novel serine protease inhibitor was uncovered during our targeted screen, which is involved in collagen maturation, proper cuticle assembly and the moulting process. We have confirmed a link between this inhibitor and the previously uncharacterised bli-5 locus in C. elegans. The mutant phenotype, spatial expression pattern and the over-expression phenotype of the BLI-5 protease inhibitor and their relevance to collagen biosynthesis are discussed.},
  journal = {International Journal for Parasitology},
  keywords = {Collagen,Cuticle,Enzyme,Kunitz,Nematode},
  language = {en},
  number = {6},
  series = {Molecular and {{Cellular Biology}} of {{Helminth Parasites6}}-11 {{September}} 2005, {{Hydra}}, {{Greece}}}
}

@article{paisAssessingEfficiencyMultiple2014,
  title = {Assessing the Efficiency of Multiple Sequence Alignment Programs},
  author = {<NAME>},
  year = {2014},
  volume = {9},
  pages = {4},
  issn = {1748-7188},
  doi = {10/gcbq9g},
  file = {/home/stefano/GoogleDrive/Research/Pais et al_2014_Assessing the efficiency of multiple sequence alignment programs.pdf},
  journal = {Algorithms for Molecular Biology},
  language = {en},
  number = {1}
}

@book{panchenkoProteinproteinInteractionsNetworks2008,
  title = {Protein-Protein {{Interactions}} and {{Networks}}: {{Identification}}, {{Computer Analysis}}, and {{Prediction}}},
  shorttitle = {Protein-Protein {{Interactions}} and {{Networks}}},
  editor = {Panchenko, <NAME>, <NAME> Dress, <NAME>, <NAME> Myers, <NAME>, <NAME>, <NAME>, <NAME>.},
  year = {2008},
  volume = {9},
  publisher = {{Springer London}},
  address = {{London}},
  doi = {10.1007/978-1-84800-125-1},
  file = {/home/stefano/GoogleDrive/Research/Panchenko_Przytycka_2008_Protein-protein Interactions and Networks.pdf},
  isbn = {978-1-84800-124-4 978-1-84800-125-1},
  language = {en},
  note = {ZSCC: NoCitationData[s0]},
  series = {Computational {{Biology}}}
}

@misc{pandas2020,
  title = {Pandas-Dev/Pandas: {{Pandas}} 1.0.4},
  shorttitle = {Pandas-Dev/Pandas},
  author = {<NAME>},
  year = {2020},
  month = may,
  doi = {10.5281/zenodo.3862857},
  abstract = {This is a minor bug-fix release in the 1.0.x series and includes some regression fixes and bug fixes. We recommend that all users upgrade to this version. See the full whatsnew for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the pandas issue tracker.},
  howpublished = {Zenodo}
}

@article{pdb2000,
  title = {The {{Protein Data Bank}}},
  author = {<NAME>.},
  year = {2000},
  month = jan,
  volume = {28},
  pages = {235--242},
  issn = {13624962},
  doi = {10/c7g},
  file = {/home/stefano/GoogleDrive/Research/Berman_2000_The Protein Data Bank.pdf},
  journal = {Nucleic Acids Research},
  number = {1}
}

@article{pfam2019,
  title = {The {{Pfam}} Protein Families Database in 2019},
  author = {{El-Gebali}, Sara and Mistry, Jaina and Bateman, Alex and Eddy, <NAME> and Luciani, Aur{\'e}lien and Potter, <NAME> and Qureshi, Matloob and Richardson, <NAME> and Salazar, <NAME> and Smart, Alfredo and Sonnhammer, <NAME> and Hirsh, Layla and Paladin, Lisanna and Piovesan, Damiano and Tosatto, <NAME> and Finn, <NAME>},
  year = {2019},
  month = jan,
  volume = {47},
  pages = {D427-D432},
  issn = {0305-1048, 1362-4962},
  doi = {10/gfhx7r},
  file = {/home/stefano/GoogleDrive/Research/El-Gebali et al_2019_The Pfam protein families database in 2019.pdf},
  journal = {Nucleic Acids Research},
  language = {en},
  number = {D1}
}

@misc{pymol2015,
  title = {The {{PyMOL Molecular Graphics System}}, {{Version}} 1.8},
  author = {{Schr\"odinger, LLC}},
  year = {2015},
  month = nov
}

@article{quailTaleThreeNext2012,
  title = {A Tale of Three next Generation Sequencing Platforms: Comparison of {{Ion}} Torrent, Pacific Biosciences and Illumina {{MiSeq}} Sequencers},
  shorttitle = {A Tale of Three next Generation Sequencing Platforms},
  author = {<NAME> Smith, <NAME> and Coupland, <NAME> Otto, <NAME> and Harris, <NAME> and Connor, <NAME> and Bertoni, Anna and Swerdlow, <NAME> and Gu, Yong},
  year = {2012},
  volume = {13},
  pages = {341},
  issn = {1471-2164},
  doi = {10/gb3d9d},
  file = {/home/stefano/GoogleDrive/Research/Quail et al_2012_A tale of three next generation sequencing platforms.pdf},
  journal = {BMC Genomics},
  language = {en},
  number = {1}
}

@article{ramosDesignHighDensity2009,
  title = {Design of a {{High Density SNP Genotyping Assay}} in the {{Pig Using SNPs Identified}} and {{Characterized}} by {{Next Generation Sequencing Technology}}},
  author = {<NAME>. and Crooijmans, <NAME>. and Affara, <NAME>. and Amaral, <NAME>. and Archibald, <NAME>. and Beever, <NAME>. and Bendixen, Christian and Churcher, Carol and Clark, Richard and Dehais, Patrick and Hansen, <NAME>. and Hedegaard, Jakob and Hu, Zhi-Liang and Kerstens, <NAME>. and Law, <NAME>. and Megens, Hendrik-Jan and <NAME> and Nonneman, <NAME>. and Rohrer, <NAME>. and Rothschild, <NAME>, <NAME> Schnabel, <NAME> <NAME>, <NAME>, <NAME>. and Wiedmann, <NAME>. and Schook, <NAME>. and Groenen, <NAME>.},
  editor = {Orban, Laszlo},
  year = {2009},
  month = aug,
  volume = {4},
  pages = {e6524},
  issn = {1932-6203},
  doi = {10/dq2gg6},
  file = {/home/stefano/GoogleDrive/Research/Ramos et al_2009_Design of a High Density SNP Genotyping Assay in the Pig Using SNPs Identified.pdf},
  journal = {PLoS ONE},
  language = {en},
  number = {8}
}

@article{redonGlobalVariationCopy2006,
  title = {Global Variation in Copy Number in the Human Genome},
  author = {<NAME> Ishikawa, <NAME>, <NAME>. and <NAME> and Perry, <NAME>. and <NAME> Fiegler, <NAME>, <NAME>. and Carson, <NAME>. and Chen, Wenwei and <NAME> and <NAME>, <NAME>. and Gonz{\'<NAME>. and Gratac{\`o}s, M{\`o}nica and <NAME> and Kalaitzopoulos, Dimitrios and <NAME> and MacDonald, <NAME>. and <NAME>. and <NAME> and Montgomery, Lyndal and Nishimura, Kunihiro and Okamura, Kohji and <NAME> and Somerville, <NAME>. and Tchinda, Joelle and Valsesia, Armand and <NAME> and <NAME> and <NAME> and <NAME> and <NAME> and <NAME>, <NAME>. and Estivill, Xavier and {Tyler-Smith}, <NAME>, <NAME>. and Aburatani, Hiroyuki and Lee, Charles and Jones, <NAME>. and Scherer, <NAME>, <NAME>.},
  year = {2006},
  month = nov,
  volume = {444},
  pages = {444--454},
  issn = {0028-0836, 1476-4687},
  doi = {10/fs4pp7},
  file = {/home/stefano/GoogleDrive/Research/Redon et al_2006_Global variation in copy number in the human genome.pdf},
  journal = {Nature},
  language = {en},
  number = {7118}
}

@book{robbinsBashPocketReference2016,
  title = {Bash Pocket Reference: Help for Power Users \& Sys Admins},
  shorttitle = {Bash Pocket Reference},
  author = {<NAME>},
  year = {2016},
  file = {/home/stefano/GoogleDrive/Research/Robbins_2016_Bash pocket reference.pdf},
  isbn = {978-1-4919-4159-1},
  language = {English}
}

@book{robbinsEffectiveAwkProgramming2015,
  title = {Effective Awk Programming},
  author = {<NAME>},
  year = {2015},
  edition = {Fourth edition},
  publisher = {{O'Reilly}},
  address = {{Beijing}},
  file = {/home/stefano/snap/zotero-snap/common/Zotero/storage/HZ6PSCU4/Robbins - 2015 - Effective awk programming},
  isbn = {978-1-4919-0461-9},
  keywords = {AWK (Computer program language)},
  lccn = {QA76.73.A95 R63 2015},
  note = {OCLC: ocn884807988},
  series = {A {{GNU}} Manual}
}

@article{rostTwilightZoneProtein1999,
  title = {Twilight Zone of Protein Sequence Alignments},
  author = {<NAME>},
  year = {1999},
  month = feb,
  volume = {12},
  pages = {85--94},
  issn = {1741-0134, 1741-0126},
  doi = {10/fpsgsx},
  file = {/home/stefano/GoogleDrive/Research/Rost_1999_Twilight zone of protein sequence alignments.pdf},
  journal = {Protein Engineering, Design and Selection},
  language = {en},
  number = {2}
}

@article{rothbergIntegratedSemiconductorDevice2011,
  title = {An Integrated Semiconductor Device Enabling Non-Optical Genome Sequencing},
  author = {Rothberg, <NAME>. and <NAME> Rearick, <NAME>. and Schultz, <NAME> Mileski, <NAME> <NAME>, <NAME>. and <NAME>, <NAME>. and Edwards, Matthew and Hoon, Jeremy and Simons, <NAME>. and Marran, David and Myers, <NAME>. and Davidson, <NAME>. and Branting, Annika and Nobile, <NAME>. and Puc, <NAME>. and Light, David and Clark, <NAME>. and Huber, Martin and Branciforte, <NAME>. and Stoner, <NAME>. and Cawley, <NAME>. and Lyons, Michael and Fu, Yutao and Homer, Nils and Sedova, Marina and Miao, Xin and Reed, Brian and Sabina, Jeffrey and <NAME> and Schorn, Michelle and Alanjary, Mohammad and <NAME> and Dressman, <NAME>, <NAME>, <NAME>, <NAME>, Eugeni and McKernan, <NAME>. and <NAME> and <NAME> and Bustillo, James},
  year = {2011},
  month = jul,
  volume = {475},
  pages = {348--352},
  issn = {0028-0836, 1476-4687},
  doi = {10/btb},
  file = {/home/stefano/GoogleDrive/Research/Rothberg et al_2011_An integrated semiconductor device enabling non-optical genome sequencing.pdf},
  journal = {Nature},
  language = {en},
  number = {7356}
}

@article{rubinStrongSignaturesSelection2012,
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  year = {2012},
  month = nov,
  volume = {109},
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  doi = {10/f228z9},
  file = {/home/stefano/GoogleDrive/Research/Rubin et al_2012_Strong signatures of selection in the domestic pig genome.pdf},
  journal = {Proceedings of the National Academy of Sciences},
  language = {en},
  number = {48}
}

@article{rubinWholegenomeResequencingReveals2010,
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  author = {<NAME> Zody, <NAME>. and Eriksson, <NAME>, <NAME>. and Sherwood, <NAME>, <NAME> Jiang, <NAME>, <NAME>, <NAME>, Sojeong and Hallb{\"o}{\"o}k, Finn and Besnier, Francois and Carlborg, {\"O}rjan and Bed'hom, Bertrand and {Tixier-Boichard}, Mich{\`e}le and Jensen, Per and Siegel, Paul and {Lindblad-Toh}, Kerstin and Andersson, Leif},
  year = {2010},
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  doi = {10/bj4mxm},
  file = {/home/stefano/GoogleDrive/Research/Rubin et al_2010_Whole-genome resequencing reveals loci under selection during chicken.pdf},
  journal = {Nature},
  language = {en},
  number = {7288}
}

@book{russellArtificialIntelligenceModern2010,
  title = {Artificial Intelligence: A Modern Approach},
  shorttitle = {Artificial Intelligence},
  author = {Russell, <NAME>. and <NAME> and <NAME>},
  year = {2010},
  edition = {3rd ed},
  publisher = {{Prentice Hall}},
  address = {{Upper Saddle River}},
  file = {/home/stefano/GoogleDrive/Research/Russell et al_2010_Artificial intelligence.pdf},
  isbn = {978-1-292-15396-4},
  keywords = {Artificial intelligence},
  language = {en},
  lccn = {Q335 .R86 2010},
  series = {Prentice {{Hall}} Series in Artificial Intelligence}
}

@book{sahniClassicIndianCooking1980,
  title = {Classic {{Indian}} Cooking},
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  year = {1980},
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  publisher = {{Morrow}},
  address = {{New York}},
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  isbn = {978-0-688-03721-5},
  keywords = {Cooking; Indic},
  lccn = {TX724.5.I4 S24}
}

@article{saliComparativeProteinModeling1995,
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  doi = {10/c2qr9x},
  file = {/home/stefano/GoogleDrive/Research/Šali_1995_Comparative protein modeling by satisfaction of spatial restraints.pdf},
  journal = {Molecular Medicine Today},
  language = {en},
  number = {6}
}

@article{saliComparativeProteinModelling1993,
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  journal = {Journal of Molecular Biology},
  language = {en},
  number = {3}
}

@article{sanderDatabaseHomologyderivedProtein1991,
  title = {Database of Homology-Derived Protein Structures and the Structural Meaning of Sequence Alignment},
  author = {<NAME> and Schneider, Reinhard},
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  note = {ZSCC: 0001995},
  number = {1}
}

@article{sangarQuantitativeSequencefunctionRelationships2007,
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  journal = {BMC Bioinformatics},
  language = {en},
  note = {ZSCC: 0000067},
  number = {1}
}

@book{santacroceGitEssentialsCreate2017,
  title = {Git Essentials: Create, Merge, and Distribute Code with {{Git}}, the Most Powerful and Flexible Versioning System Available},
  shorttitle = {Git Essentials},
  author = {<NAME>},
  year = {2017},
  publisher = {{PACKT Publishing Ltd.}},
  address = {{Birmingham, UK}},
  file = {/home/stefano/GoogleDrive/Research/Santacroce_2017_Git essentials.pdf},
  isbn = {978-1-78712-072-3},
  language = {English},
  note = {OCLC: 1012558154}
}

@article{schenaQuantitativeMonitoringGene1995,
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  volume = {270},
  pages = {467--470},
  issn = {0036-8075, 1095-9203},
  doi = {10/bnjcf6},
  file = {/home/stefano/GoogleDrive/Research/Schena et al_1995_Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA.pdf},
  journal = {Science},
  language = {en},
  number = {5235}
}

@misc{schrodingerllcAxPyMOLMolecularGraphics2015,
  title = {The {{AxPyMOL Molecular Graphics Plugin}} for {{Microsoft PowerPoint}}, {{Version}} 1.8},
  author = {{Schr\"odinger, LLC}},
  year = {2015},
  month = nov
}

@misc{schrodingerllcJyMOLMolecularGraphics2015,
  title = {The {{JyMOL Molecular Graphics Development Component}}, {{Version}} 1.8},
  author = {{Schr\"odinger, LLC}},
  year = {2015},
  month = nov
}

@article{scikitlearn2011,
  title = {Scikit-Learn: {{Machine Learning}} in {{Python}}},
  shorttitle = {Scikit-Learn},
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  year = {2011},
  volume = {12},
  pages = {2825--2830},
  abstract = {Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language.  Emphasis is put on ease of use, performance, documentation, and API consistency.  It has minimal dependencies and is distributed under the simplified BSD license, encouraging its use in both academic and commercial settings.  Source code, binaries, and documentation can be downloaded from http://scikit-learn.sourceforge.net.},
  file = {/home/stefano/GoogleDrive/Research/Pedregosa et al_2011_Scikit-learn.pdf},
  journal = {Journal of Machine Learning Research},
  number = {85}
}

@article{shethDNAbasedMemoryDevices2018,
  title = {{{DNA}}-Based Memory Devices for Recording Cellular Events},
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  doi = {10/gd83xh},
  file = {/home/stefano/GoogleDrive/Research/Sheth_Wang_2018_DNA-based memory devices for recording cellular events.pdf},
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  language = {en},
  note = {ZSCC: 0000021},
  number = {11}
}

@article{shindyalovProteinStructureAlignment1998,
  title = {Protein Structure Alignment by Incremental Combinatorial Extension ({{CE}}) of the Optimal Path},
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  journal = {Protein Engineering Design and Selection},
  language = {en},
  number = {9}
}

@article{siewMaxSubAutomatedMeasure2000,
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  author = {<NAME> <NAME> <NAME> <NAME>.},
  year = {2000},
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  doi = {10/dp8cv4},
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  journal = {Bioinformatics},
  language = {en},
  number = {9}
}

@article{skylign2014,
  title = {Skylign: A Tool for Creating Informative, Interactive Logos Representing Sequence Alignments and Profile Hidden {{Markov}} Models},
  shorttitle = {Skylign},
  author = {Wheeler, <NAME>. and <NAME> Finn, <NAME>.},
  year = {2014},
  month = jan,
  volume = {15},
  pages = {7},
  issn = {1471-2105},
  doi = {10/gb8whk},
  abstract = {Logos are commonly used in molecular biology to provide a compact graphical representation of the conservation pattern of a set of sequences. They render the information contained in sequence alignments or profile hidden Markov models by drawing a stack of letters for each position, where the height of the stack corresponds to the conservation at that position, and the height of each letter within a stack depends on the frequency of that letter at that position.},
  file = {/home/stefano/GoogleDrive/Research/Wheeler et al_2014_Skylign.pdf},
  journal = {BMC Bioinformatics},
  number = {1}
}

@article{smithIdentificationCommonMolecular1981,
  title = {Identification of Common Molecular Subsequences},
  author = {<NAME>. and <NAME>.},
  year = {1981},
  month = mar,
  volume = {147},
  pages = {195--197},
  issn = {00222836},
  doi = {10/d69bj9},
  file = {/home/stefano/GoogleDrive/Research/Smith_Waterman_1981_Identification of common molecular subsequences.pdf},
  journal = {Journal of Molecular Biology},
  language = {en},
  number = {1}
}

@article{sonnhammerPfamComprehensiveDatabase1997,
  title = {Pfam: {{A}} Comprehensive Database of Protein Domain Families Based on Seed Alignments},
  shorttitle = {Pfam},
  author = {Sonnhammer, <NAME>. and Eddy, <NAME>. and <NAME>},
  year = {1997},
  volume = {28},
  pages = {405--420},
  issn = {1097-0134},
  doi = {10/cdxg67},
  abstract = {Databases of multiple sequence alignments are a valuable aid to protein sequence classification and analysis. One of the main challenges when constructing such a database is to simultaneously satisfy the conflicting demands of completeness on the one hand and quality of alignment and domain definitions on the other. The latter properties are best dealt with by manual approaches, whereas completeness in practice is only amenable to automatic methods. Herein we present a database based on hidden Markov model profiles (HMMs), which combines high quality and completeness. Our database, Pfam, consists of parts A and B. Pfam-A is curated and contains well-characterized protein domain families with high quality alignments, which are maintained by using manually checked seed alignments and HMMs to find and align all members. Pfam-B contains sequence families that were generated automatically by applying the Domainer algorithm to cluster and align the remaining protein sequences after removal of Pfam-A domains. By using Pfam, a large number of previously unannotated proteins from the Caenorhabditis elegans genome project were classified. We have also identified many novel family memberships in known proteins, including new kazal, Fibronectin type III, and response regulator receiver domains. Pfam-A families have permanent accession numbers and form a library of HMMs available for searching and automatic annotation of new protein sequences. Proteins: 28:405\textendash{}420, 1997. \textcopyright{} 1997 Wiley-Liss, Inc.},
  file = {/home/stefano/GoogleDrive/Research/Sonnhammer et al_1997_Pfam.pdf},
  journal = {Proteins: Structure, Function, and Bioinformatics},
  keywords = {Caenorhabditis elegans,classification,clustering,genome annotation,hidden Markov model,protein domains},
  language = {en},
  number = {3}
}

@book{stekelMicroarrayBioinformatics2003,
  title = {Microarray {{Bioinformatics}}},
  author = {<NAME>},
  year = {2003},
  month = sep,
  edition = {First},
  publisher = {{Cambridge University Press}},
  doi = {10.1017/CBO9780511615535},
  file = {/home/stefano/GoogleDrive/Research/Stekel_2003_Microarray Bioinformatics3.pdf},
  isbn = {978-0-521-81982-4 978-0-521-52587-9 978-0-511-61553-5}
}

@article{stepekKunitzDomainProtein2010,
  title = {The Kunitz Domain Protein {{BLI}}-5 Plays a Functionally Conserved Role in Cuticle Formation in a Diverse Range of Nematodes},
  author = {<NAME> and <NAME>, <NAME>.},
  year = {2010},
  month = jan,
  volume = {169},
  pages = {1--11},
  issn = {01666851},
  doi = {10/ckc5kq},
  journal = {Molecular and Biochemical Parasitology},
  language = {en},
  number = {1}
}

@book{strangIntroductionLinearAlgebra2016,
  title = {Introduction to Linear Algebra},
  author = {<NAME>},
  year = {2016},
  edition = {Fifth edition},
  publisher = {{Wellesley-Cambridge Press}},
  address = {{Wellesley, MA}},
  file = {/home/stefano/GoogleDrive/Research/Strang_2016_Introduction to linear algebra2.pdf},
  isbn = {978-0-9802327-7-6},
  language = {eng},
  note = {ZSCC: 0000002 
OCLC: 964067316}
}

@article{szklarczykSTRINGV10Protein2015,
  title = {{{STRING}} V10: Protein\textendash{}Protein Interaction Networks, Integrated over the Tree of Life},
  shorttitle = {{{STRING}} V10},
  author = {Szklarczyk, <NAME> Franceschini, Andrea and Wyder, <NAME> Forslund, <NAME> Heller, Davide and {Huerta-Cepas}, Jaime and Simonovic, <NAME>, Alexander and Santos, Alberto and Tsafou, <NAME>. and Kuhn, <NAME>, Peer and Jensen, <NAME>. and {von Mering}, Christian},
  year = {2015},
  month = jan,
  volume = {43},
  pages = {D447-D452},
  issn = {1362-4962, 0305-1048},
  doi = {10/f64rfn},
  file = {/home/stefano/GoogleDrive/Research/Szklarczyk et al_2015_STRING v10.pdf},
  journal = {Nucleic Acids Research},
  language = {en},
  note = {ZSCC: NoCitationData[s0]},
  number = {D1}
}

@article{taftCurrentTopicsComputer2008,
  title = {Current Topics in Computer-aided Drug Design},
  author = {Taft, <NAME>. and {<NAME>}, <NAME> and {<NAME>}, <NAME>},
  year = {2008},
  month = mar,
  volume = {97},
  pages = {1089--1098},
  issn = {00223549},
  doi = {10/bsgr8p},
  file = {/home/stefano/GoogleDrive/Research/Taft et al_2008_Current topics in computer‐aided drug design.pdf},
  journal = {Journal of Pharmaceutical Sciences},
  language = {en},
  note = {ZSCC: 0000111},
  number = {3}
}

@article{taylorProteinStructureAlignment1989,
  title = {Protein Structure Alignment},
  author = {Taylor, <NAME>. and Orengo, <NAME>.},
  year = {1989},
  month = jul,
  volume = {208},
  pages = {1--22},
  issn = {0022-2836},
  doi = {10/fgj3dz},
  abstract = {A new method of comparing protein structures is described, based on distance plot analysis. It is relatively insensitive to insertions and deletions in sequence and is tolerant of the displacement of equivalent substructures between the two molecules being compared. When presented with the co-ordinate sets of two structures, the method will produce automatically an alignment of their sequences based on structural criteria. The method uses the dynamic programming optimization technique, which is widely used in the comparison of protein sequences and thus unifies the techniques of protein structure and sequence comparison. Typical structure comparison problems were examined and the results of the new method compared to the published results obtained using conventional methods. In most examples, the new method produced a result that was equivalent, and in some cases superior, to those reported in the literature.},
  file = {/home/stefano/GoogleDrive/Research/Taylor_Orengo_1989_Protein structure alignment.pdf},
  journal = {Journal of Molecular Biology},
  language = {en},
  number = {1}
}

@article{thegeneontologyconsortiumGeneOntologyResource2019,
  title = {The {{Gene Ontology Resource}}: 20 Years and Still {{GOing}} Strong},
  shorttitle = {The {{Gene Ontology Resource}}},
  author = {{The Gene Ontology Consortium}},
  year = {2019},
  month = jan,
  volume = {47},
  pages = {D330-D338},
  issn = {0305-1048, 1362-4962},
  doi = {10/gf63mb},
  file = {/home/stefano/GoogleDrive/Research/The Gene Ontology Consortium_2019_The Gene Ontology Resource.pdf},
  journal = {Nucleic Acids Research},
  language = {en},
  number = {D1}
}

@article{uniprot2019,
  title = {{{UniProt}}: A Worldwide Hub of Protein Knowledge},
  shorttitle = {{{UniProt}}},
  author = {{The UniProt Consortium}},
  year = {2019},
  month = jan,
  volume = {47},
  pages = {D506-D515},
  issn = {0305-1048, 1362-4962},
  doi = {10/gfwqck},
  file = {/home/stefano/GoogleDrive/Research/The UniProt Consortium_2019_UniProt.pdf},
  journal = {Nucleic Acids Research},
  language = {en},
  number = {D1}
}

@article{venterSequenceHumanGenome2001,
  title = {The {{Sequence}} of the {{Human Genome}}},
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  year = {2001},
  month = feb,
  volume = {291},
  pages = {1304--1351},
  issn = {0036-8075, 1095-9203},
  doi = {10/bfkcgk},
  file = {/home/stefano/GoogleDrive/Research/Venter et al_2001_The Sequence of the Human Genome.pdf},
  journal = {Science},
  language = {en},
  number = {5507}
}

@article{wishartDrugBankMajorUpdate2018,
  title = {{{DrugBank}} 5.0: A Major Update to the {{DrugBank}} Database for 2018},
  shorttitle = {{{DrugBank}} 5.0},
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  language = {en},
  note = {ZSCC: NoCitationData[s0]},
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}

@article{zhangComputationalPredictionEukaryotic2002,
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  journal = {Nature Reviews Genetics},
  language = {en},
  note = {ZSCC: 0000327},
  number = {9}
}


