2010
DOI: 10.1093/bioinformatics/btq475
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BioRuby: bioinformatics software for the Ruby programming language

Abstract: Summary: The BioRuby software toolkit contains a comprehensive set of free development tools and libraries for bioinformatics and molecular biology, written in the Ruby programming language. BioRuby has components for sequence analysis, pathway analysis, protein modelling and phylogenetic analysis; it supports many widely used data formats and provides easy access to databases, external programs and public web services, including BLAST, KEGG, GenBank, MEDLINE and GO. BioRuby comes with a tutorial, documentatio… Show more

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Cited by 154 publications
(138 citation statements)
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“…The Newbler output, 454 HCDiff.txt, is a file of sequence alignments surrounding all the high confidence polymorphic loci. A Ruby (Goto et al, 2010) script was written to test the linkage of two adjacent loci by enumerating the occurrence of the four sequence combinations: consensus-consensus, consensus-variant, variant-consensus and variant-variant. If w80 % of the sequences occurred only as two sequence combinations, the two loci were considered linked.…”
Section: Methodsmentioning
confidence: 99%
“…The Newbler output, 454 HCDiff.txt, is a file of sequence alignments surrounding all the high confidence polymorphic loci. A Ruby (Goto et al, 2010) script was written to test the linkage of two adjacent loci by enumerating the occurrence of the four sequence combinations: consensus-consensus, consensus-variant, variant-consensus and variant-variant. If w80 % of the sequences occurred only as two sequence combinations, the two loci were considered linked.…”
Section: Methodsmentioning
confidence: 99%
“…Pipengine is written in Ruby and is available for download as a BioRuby Gem (Goto N 2010;Bonnal RJP 2012).…”
Section: Discussionmentioning
confidence: 99%
“…BioPerl (Stajich et al, 2002), BioJava (Prlić et al, 2012), Biopython (Cock et al, 2009), and BioRuby and BioGems (Goto et al, 2010;Bonnal et al, 2012) groups worked together to develop Abstract Sprints, Hackathons and Codefests are all names used for informal software developer meetings, especially popular in open source communities. These meetings, along side more traditional conferences, are a vital part of the international network of interactions between software developers working in bioinformatics and computational biology, and complement purely online interactions such as project mailing lists, online chat, web forums and more recently voice and video calls.…”
Section: Methodsmentioning
confidence: 99%