<filename>public/sp/spr/bibtex_install.bib
@ARTICLE{H_Backman2016-bt,
  title       = "{systemPipeR: NGS workflow and report generation environment}",
  author      = "<NAME>, <NAME> and Girke, Thomas",
  affiliation = "Institute for Integrative Genome Biology, University of
                 California, Riverside, 1207F Genomics Building, 3401 Watkins
                 Drive, Riverside, 92521, CA, USA. Institute for Integrative
                 Genome Biology, University of California, Riverside, 1207F
                 Genomics Building, 3401 Watkins Drive, Riverside, 92521, CA,
                 USA. <EMAIL>.",
  journal     = "BMC Bioinformatics",
  volume      =  17,
  number      =  1,
  pages       = "388",
  month       =  "20~" # sep,
  year        =  2016,
  url         = "http://dx.doi.org/10.1186/s12859-016-1241-0",
  keywords    = "Analysis workflow; ChIP-Seq; Next Generation Sequencing (NGS);
                 RNA-Seq; Ribo-Seq; VAR-Seq",
  language    = "en",
  issn        = "1471-2105",
  pmid        = "27650223",
  doi         = "10.1186/s12859-016-1241-0",
  pmc         = "PMC5029110"
}
@ARTICLE{Li2013-sw,
  title         = "Aligning sequence reads, clone sequences and assembly
                   contigs with {BWA-MEM}",
  author        = "<NAME>",
  abstract      = "Summary: BWA-MEM is a new alignment algorithm for aligning
                   sequence reads or long query sequences against a large
                   reference genome such as human. It automatically chooses
                   between local and end-to-end alignments, supports paired-end
                   reads and performs chimeric alignment. The algorithm is
                   robust to sequencing errors and applicable to a wide range
                   of sequence lengths from 70bp to a few megabases. For
                   mapping 100bp sequences, BWA-MEM shows better performance
                   than several state-of-art read aligners to date.
                   Availability and implementation: BWA-MEM is implemented as a
                   component of BWA, which is available at
                   http://github.com/lh3/bwa. Contact:
                   <EMAIL>",
  month         =  mar,
  year          =  2013,
  archivePrefix = "arXiv",
  primaryClass  = "q-bio.GN",
  eprint        = "1303.3997"
}

