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Better quality score compression through sequence-based quality smoothing.
BMC Bioinformatics ; 20(Suppl 9): 302, 2019 Nov 22.
Artigo em Inglês | MEDLINE | ID: mdl-31757199
ABSTRACT
MOTIVATION: Current NGS techniques are becoming exponentially cheaper. As a result, there is an exponential growth of genomic data unfortunately not followed by an exponential growth of storage, leading to the necessity of compression. Most of the entropy of NGS data lies in the quality values associated to each read. Those values are often more diversified than necessary. Because of that, many tools such as Quartz or GeneCodeq, try to change (smooth) quality scores in order to improve compressibility without altering the important information they carry for downstream analysis like SNP calling.

RESULTS:

We use the FM-Index, a type of compressed suffix array, to reduce the storage requirements of a dictionary of k-mers and an effective smoothing algorithm to maintain high precision for SNP calling pipelines, while reducing quality scores entropy. We present YALFF (Yet Another Lossy Fastq Filter), a tool for quality scores compression by smoothing leading to improved compressibility of FASTQ files. The succinct k-mers dictionary allows YALFF to run on consumer computers with only 5.7 GB of available free RAM. YALFF smoothing algorithm can improve genotyping accuracy while using less resources.AVAILABILITY: https://github.com/yhhshb/yalff.
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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Compressão de Dados / Sequenciamento de Nucleotídeos em Larga Escala Limite: Humanos Idioma: Inglês Revista: BMC Bioinformatics Assunto da revista: Informática Médica Ano de publicação: 2019 Tipo de documento: Artigo País de afiliação: Itália