Literature DB >> 29806047

CROMqs: an infinitesimal successive refinement lossy compressor for the quality scores.

I Ochoa1, A No1, M Hernaez1, T Weissman1.   

Abstract

Massive amounts of sequencing data are being generated thanks to advances in sequencing technology and a dramatic drop in the sequencing cost. Much of the data are comprised of nucleotides and the corresponding quality scores that indicate their reliability. The latter are more difficult to compress and are themselves noisy. As a result, lossy compression of the quality scores has recently been proposed to alleviate the storage costs. Further, it has been shown that lossy compression, at some specific rates, can achieve a performance on variant calling similar to that achieved with the lossless compressed data. We propose CROMqs, a new lossy compressor for the quality scores with the property of "infinitesimal successive refinability". This property allows the decoder to decompress the data iteratively without the need of agreeing with the encoder on a specific rate prior to compression. This characteristic is particularly amenable in practice, as in most cases the appropriate rate at which the lossy compressor should operate can not be established prior to compression. Further, this property can be of interest in scenarios involving streaming of genomic data. CROMqs is the first infinitesimal successive refinement lossy compressor for the quality scores in the literature, and we show that it obtains a comparable rate-distortion performance to previously proposed algorithms. Moreover, we also show that CROMqs achieves a comparable performance on variant calling to that of the lossless compressed data.

Entities:  

Year:  2016        PMID: 29806047      PMCID: PMC5966041          DOI: 10.1109/ITW.2016.7606808

Source DB:  PubMed          Journal:  Proc Inf Theory Workshop        ISSN: 2475-420X


  13 in total

1.  OnlineCall: fast online parameter estimation and base calling for illumina's next-generation sequencing.

Authors:  Shreepriya Das; Haris Vikalo
Journal:  Bioinformatics       Date:  2012-05-07       Impact factor: 6.937

Review 2.  Sequencing technologies - the next generation.

Authors:  Michael L Metzker
Journal:  Nat Rev Genet       Date:  2009-12-08       Impact factor: 53.242

3.  QVZ: lossy compression of quality values.

Authors:  Greg Malysa; Mikel Hernaez; Idoia Ochoa; Milind Rao; Karthik Ganesan; Tsachy Weissman
Journal:  Bioinformatics       Date:  2015-05-28       Impact factor: 6.937

4.  Effect of lossy compression of quality scores on variant calling.

Authors:  Idoia Ochoa; Mikel Hernaez; Rachel Goldfeder; Tsachy Weissman; Euan Ashley
Journal:  Brief Bioinform       Date:  2017-03-01       Impact factor: 11.622

5.  From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline.

Authors:  Geraldine A Van der Auwera; Mauricio O Carneiro; Christopher Hartl; Ryan Poplin; Guillermo Del Angel; Ami Levy-Moonshine; Tadeusz Jordan; Khalid Shakir; David Roazen; Joel Thibault; Eric Banks; Kiran V Garimella; David Altshuler; Stacey Gabriel; Mark A DePristo
Journal:  Curr Protoc Bioinformatics       Date:  2013

6.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

7.  Rateless Lossy Compression via the Extremes.

Authors:  Albert No; Tsachy Weissman
Journal:  IEEE Trans Inf Theory       Date:  2016-08-12       Impact factor: 2.501

8.  Deploying whole genome sequencing in clinical practice and public health: meeting the challenge one bin at a time.

Authors:  Jonathan S Berg; Muin J Khoury; James P Evans
Journal:  Genet Med       Date:  2011-06       Impact factor: 8.822

9.  Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications.

Authors:  Andy Rimmer; Hang Phan; Iain Mathieson; Zamin Iqbal; Stephen R F Twigg; Andrew O M Wilkie; Gil McVean; Gerton Lunter
Journal:  Nat Genet       Date:  2014-07-13       Impact factor: 38.330

10.  QualComp: a new lossy compressor for quality scores based on rate distortion theory.

Authors:  Idoia Ochoa; Himanshu Asnani; Dinesh Bharadia; Mainak Chowdhury; Tsachy Weissman; Golan Yona
Journal:  BMC Bioinformatics       Date:  2013-06-08       Impact factor: 3.169

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