title: Transformations for the compression of FASTQ quality scores of next-generation sequencing data.
abstract: BACKGROUND
  The growth of next-generation sequencing means that more effective and efficient archiving methods are needed to store the generated data for public dissemination and in anticipation of more mature analytical methods later. This article examines methods for compressing the quality score component of the data to partly address this problem.
  
  
  RESULTS
  We compare several compression policies for quality scores, in terms of both compression effectiveness and overall efficiency. The policies employ lossy and lossless transformations with one of several coding schemes. Experiments show that both lossy and lossless transformations are useful, and that simple coding methods, which consume less computing resources, are highly competitive, especially when random access to reads is needed.
  
  
  METHODS
  Our C++ implementation, released under the Lesser General Public License, is available for download at http://www.cb.k.u-tokyo.ac.jp/asailab/members/rwan.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Computational Biology, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Chiba-ken 277-8561, Tokyo 135-0064, Japan. rwan@cuhk.edu.hk
authors.forename: Raymond
authors.initials: R
authors.lastname: Wan
authors.forename: Vo Ngoc
authors.initials: VN
authors.lastname: Anh
authors.forename: Kiyoshi
authors.initials: K
authors.lastname: Asai
mesh_terms: D044962:Data Compression / Q000191:economics / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000191:economics / Q000379:methods*; D012984:Software