INDIGO - INtegrated data warehouse of microbial genomes with examples from the red sea extremophiles.
Ba Alawi, Wail
Kalkatawi, Manal M.
Bajic, Vladimir B.
KAUST DepartmentRed Sea Research Center (RSRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computational Bioscience Research Center (CBRC)
Computer Science Program
Marine Science Program
Biological and Environmental Sciences and Engineering (BESE) Division
Applied Mathematics and Computational Science Program
Permanent link to this recordhttp://hdl.handle.net/10754/323508
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AbstractThe next generation sequencing technologies substantially increased the throughput of microbial genome sequencing. To functionally annotate newly sequenced microbial genomes, a variety of experimental and computational methods are used. Integration of information from different sources is a powerful approach to enhance such annotation. Functional analysis of microbial genomes, necessary for downstream experiments, crucially depends on this annotation but it is hampered by the current lack of suitable information integration and exploration systems for microbial genomes.
CitationAlam I, Antunes A, Kamau AA, Ba alawi Wail, Kalkatawi M, et al. (2013) INDIGO - INtegrated Data Warehouse of MIcrobial GenOmes with Examples from the Red Sea Extremophiles. PLoS ONE 8: e82210. doi:10.1371/journal.pone.0082210.
PublisherPublic Library of Science (PLoS)
PubMed Central IDPMC3855842
CollectionsArticles; Biological and Environmental Sciences and Engineering (BESE) Division; Red Sea Research Center (RSRC); Marine Science Program; Applied Mathematics and Computational Science Program; Computer Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
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