FaStore: a space-saving solution for raw sequencing data-Reference-Cited by-同舟云学术

FaStore: a space-saving solution for raw sequencing data

Published:2018-03-29 Issue:16 Volume:34 Page:2748-2756
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Roguski Łukasz¹²,Ochoa Idoia³,Hernaez Mikel⁴,Deorowicz Sebastian⁵^ORCID

Affiliation:

1. Centro Nacional de Análisis Genómico-Centre for Genomic Regulation, Barcelona Institute of Science and Technology (CNAG-CRG), Barcelona, Spain

2. Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain

3. Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, IL, USA

4. Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, IL, USA

5. Institute of Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland

Funder

National Science Centre, Poland

European Union Seventh Framework Programme

National Centre for Research and Development

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/16/2748/25441998/bty205.pdf

Reference28 articles.

1. From FastQ data to high-confidence variant calls: the genome analysis toolkit best practices pipeline;Auwera;Curr. Protoc. Bioinformatics,2013

2. Reference-free compression of high throughput sequencing data with a probabilistic de Bruijn graph;Benoit;BMC Bioinformatics,2015

3. Compression of FASTQ and SAM format sequencing data;Bonfield;PLoS One,2013

4. Compression of structured high-throughput sequencing data;Campagne;PLos One,2013

5. Compression of genomic sequencing reads via hash-based reordering: algorithm and analysis;Chandak;Bioinformatics,2018

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