Evidence map›Paper›PMID 29806047›Full record

ArticleProceedings. Information Theory Workshop2016

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

I Ochoa, A No, M Hernaez, T Weissman

Abstract read
In one paragraph

Article in Proceedings. Information Theory Workshop, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

I OchoaDepartment of Electrical Engineering, Stanford University, Stanford CA 94305.
A NoDepartment of Electrical Engineering, Stanford University, Stanford CA 94305.
M HernaezDepartment of Electrical Engineering, Stanford University, Stanford CA 94305.
T WeissmanDepartment of Electrical Engineering, Stanford University, Stanford CA 94305.

Funding

Genomic Compression: From Information Theory to Parallel AlgorithmsU01CA198943 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MILENKOVIC, OLGICA, WEISSMAN, TSACHY · 2015 to 2017
$1.4M
NCI NIH HHS U01 CA198943
6 · The paper itself

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.

Identifiers

PMID29806047
PMCPMC5966041

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.