AGeS: a software system for microbial genome sequence annotation.

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dc.contributor.authorKumar, Kamal
dc.contributor.authorDesai, Valmik
dc.contributor.authorCheng, Li
dc.contributor.authorKhitrov, Maxim
dc.contributor.authorGrover, Deepak
dc.contributor.authorSatya, Ravi Vijaya
dc.contributor.authorYu, Chenggang
dc.contributor.authorZavaljevski, Nela
dc.contributor.authorReifman, Jaques
dc.date.accessioned2020-02-10T17:54:00Z
dc.date.available2020-02-10T17:54:00Z
dc.date.issued2011-03-16
dc.description.abstractThe annotation of genomes from next generation sequencing platforms needs to be rapid high throughput and fully integrated and automated Although a few Web based annotation services have recently become available they may not be the best solution for researchers that need to annotate a large number of genomes possibly including proprietary data and store them locally for further analysis To address this need we developed a standalone software application the Annotation of microbial Genome Sequences AGeS system which incorporates publicly available and in house developed bioinformatics tools and databases many of which are parallelized for high throughput performance
dc.identifier.urihttp://dx.doi.org/10.1371/journal.pone.0017469
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/28171
dc.relation.uriPloS one
dc.titleAGeS: a software system for microbial genome sequence annotation.en
dcterms.abstractThe annotation of genomes from next generation sequencing platforms needs to be rapid high throughput and fully integrated and automated Although a few Web based annotation services have recently become available they may not be the best solution for researchers that need to annotate a large number of genomes possibly including proprietary data and store them locally for further analysis To address this need we developed a standalone software application the Annotation of microbial Genome Sequences AGeS system which incorporates publicly available and in house developed bioinformatics tools and databases many of which are parallelized for high throughput performance
dcterms.contributorKumar, Kamal
dcterms.contributorDesai, Valmik
dcterms.contributorCheng, Li
dcterms.contributorKhitrov, Maxim
dcterms.contributorGrover, Deepak
dcterms.contributorSatya, Ravi Vijaya
dcterms.contributorYu, Chenggang
dcterms.contributorZavaljevski, Nela
dcterms.contributorReifman, Jaques
dcterms.identifierhttp://dx.doi.org/10.1371/journal.pone.0017469
dcterms.relationPloS one
dcterms.titleAGeS: a software system for microbial genome sequence annotation.en
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