title: Compression of FASTQ and SAM format sequencing data.
abstract: Storage and transmission of the data produced by modern DNA sequencing instruments has become a major concern, which prompted the Pistoia Alliance to pose the SequenceSqueeze contest for compression of FASTQ files. We present several compression entries from the competition, Fastqz and Samcomp/Fqzcomp, including the winning entry. These are compared against existing algorithms for both reference based compression (CRAM, Goby) and non-reference based compression (DSRC, BAM) and other recently published competition entries (Quip, SCALCE). The tools are shown to be the new Pareto frontier for FASTQ compression, offering state of the art ratios at affordable CPU costs. All programs are freely available on SourceForge. Fastqz: https://sourceforge.net/projects/fastqz/, fqzcomp: https://sourceforge.net/projects/fqzcomp/, and samcomp: https://sourceforge.net/projects/samcomp/.
authors.affiliation: Wellcome Trust Sanger Institute, Cambridge, United Kingdom. jkb@sanger.ac.uk
authors.forename: James K
authors.initials: JK
authors.lastname: Bonfield
authors.forename: Matthew V
authors.initials: MV
authors.lastname: Mahoney
mesh_terms: D019295:Computational Biology / Q000379:methods*; D044962:Data Compression / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software