2009
DOI: 10.4056/sigs.25165
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Meeting Report from the Genomic Standards Consortium (GSC) Workshops 6 and 7

Abstract: This report summarizes the proceedings of the 6th and 7th workshops of the Genomic Standards Consortium (GSC), held back-to-back in 2008. GSC 6 focused on furthering the activities of GSC working groups, GSC 7 focused on outreach to the wider community. GSC 6 was held October 10-14, 2008 at the European Bioinformatics Institute, Cambridge, United Kingdom and included a two-day workshop focused on the refinement of the Genomic Contextual Data Markup Language (GCDML). GSC 7 was held as the opening day of the Int… Show more

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Cited by 9 publications
(11 citation statements)
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“…Scientists can submit their private genome data sets into IMG ER (using password protected access) prior to their public release either with their original annotations or with annotations generated by IMG's annotation pipeline (18). Since August 2009, close to 750 private genomes have been reviewed and curated using IMG/ER.…”
Section: Data Content Extensionsmentioning
confidence: 99%
“…Scientists can submit their private genome data sets into IMG ER (using password protected access) prior to their public release either with their original annotations or with annotations generated by IMG's annotation pipeline (18). Since August 2009, close to 750 private genomes have been reviewed and curated using IMG/ER.…”
Section: Data Content Extensionsmentioning
confidence: 99%
“…IMG helps the users to identify such genes and gene families by integrating the data from different annotation sources. IMG’s annotation process [16] attempts to assign every protein-coding gene to three types of sequence-similarity based protein classifications: COG, Pfam and TIGRfam, as well as the models collected in the integrated database InterPro [17]. These protein classifications have been generated using different approaches, and protein families carry more or less extensive manually curated functional descriptions; as a result, the information provided by them is only partially redundant.…”
Section: Methodsmentioning
confidence: 99%
“…On the other hand, since both systems are based on a seed set of genes with manual assignments performed using additional refinement criteria, such as orthology detection and synteny, they often provide finer granularity of functional annotations than those generated by COGs and Pfams. Protein assignments to KO terms and FIGfams are imported from the corresponding resources using identifier- or protein sequence-based mapping, and in the case of KEGG Orthology native annotations are supplemented by additional assignments of IMG proteins to KO terms using the methodology described in [16].…”
Section: Methodsmentioning
confidence: 99%
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