Grape RNA-Seq analysis pipeline environment

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• dc.contributor.author Knowles, David G.ca
• dc.contributor.author Röder, Maikca
• dc.contributor.author Merkel, Angelikaca
• dc.contributor.author Guigó Serra, Rodericca
• dc.date.accessioned 2014-07-18T10:17:23Z
• dc.date.available 2014-07-18T10:17:23Z
• dc.date.issued 2013ca
• dc.description.abstract MOTIVATION: The avalanche of data arriving since the development of NGS technologies have prompted the need for developing fast, accurate and easily automated bioinformatic tools capable of dealing with massive datasets. Among the most productive applications of NGS technologies is the sequencing of cellular RNA, known as RNA-Seq. Although RNA-Seq provides similar or superior dynamic range than microarrays at similar or lower cost, the lack of standard and user-friendly pipelines is a bottleneck preventing RNA-Seq from becoming the standard for transcriptome analysis. RESULTS: In this work we present a pipeline for processing and analyzing RNA-Seq data, that we have named Grape (Grape RNA-Seq Analysis Pipeline Environment). Grape supports raw sequencing reads produced by a variety of technologies, either in FASTA or FASTQ format, or as prealigned reads in SAM/BAM format. A minimal Grape configuration consists of the file location of the raw sequencing reads, the genome of the species and the corresponding gene and transcript annotation. Grape first runs a set of quality control steps, and then aligns the reads to the genome, a step that is omitted for prealigned read formats. Grape next estimates gene and transcript expression levels, calculates exon inclusion levels and identifies novel transcripts. Grape can be run on a single computer or in parallel on a computer cluster. It is distributed with specific mapping and quantification tools, but given its modular design, any tool supporting popular data interchange formats can be integrated. AVAILABILITY: Grape can be obtained from the Bioinformatics and Genomics website at: http://big.crg.cat/services/grape.
• dc.description.sponsorship The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement 282510. This work has been carried under grants BIO2011-26205 from Ministerio de Economía y Competitividad (Spain) and INB GNV-1 and RETICS RD07/0067/0012 from PN de I+D+i, ISCIII—Subdirección General de Evaluación y Fomento de la Investigación—(Spain) and cofunded by FEDER
• dc.format.mimetype application/pdfca
• dc.identifier.citation Knowles DG, Röder M, Merkel A, Guigó R. Grape RNA-Seq analysis pipeline environment. Bioinformatics. 2013;29(5):614-21. DOI: 10.1093/bioinformatics/btt016ca
• dc.identifier.doi http://dx.doi.org/10.1093/bioinformatics/btt016
• dc.identifier.issn 1367-4803ca
• dc.identifier.uri http://hdl.handle.net/10230/22639
• dc.language.iso engca
• dc.publisher Oxford University Pressca
• dc.relation.ispartof Bioinformatics. 2013;29(5):614-21
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/282510ca
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/BIO2011-26205
• dc.rights © 2013 David G. Knowles et al. This is an Open Access article distributed under the terms of a Creative Commons Attribution Licenseca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.rights.uri http://creativecommons.org/licenses/by/3.0/
• dc.subject.other Expressió gènica -- Mètodes
• dc.subject.other Seqüència de nucleòtids -- Mètodes
• dc.title Grape RNA-Seq analysis pipeline environmentca
• dc.type info:eu-repo/semantics/articleca
• dc.type.version info:eu-repo/semantics/publishedVersionca