The BioCyc collection of microbial genomes and metabolic pathways

Abstract BioCyc.org is a microbial genome Web portal that combines thousands of genomes with additional information inferred by computer programs, imported from other databases and curated from the biomedical literature by biologist curators. BioCyc also provides an extensive range of query tools, v...

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Vydáno v:Briefings in bioinformatics Ročník 20; číslo 4; s. 1085 - 1093
Hlavní autoři: Karp, Peter D, Billington, Richard, Caspi, Ron, Fulcher, Carol A, Latendresse, Mario, Kothari, Anamika, Keseler, Ingrid M, Krummenacker, Markus, Midford, Peter E, Ong, Quang, Ong, Wai Kit, Paley, Suzanne M, Subhraveti, Pallavi
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Oxford University Press 19.07.2019
Oxford Publishing Limited (England)
Témata:
Biologists
Computational Biology
Computer programs
Databases, Genetic
Escherichia coli - genetics
Escherichia coli - metabolism
Genome, Microbial
Genomes
Genomics
Internet
Metabolic Networks and Pathways
Metabolic pathways
Metabolites
Microorganisms
Models, Biological
Search Engine
Software
microbial genome databases
genome databases
metabolic pathway databases
ISSN:1467-5463, 1477-4054, 1477-4054
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Popis
Shrnutí:Abstract BioCyc.org is a microbial genome Web portal that combines thousands of genomes with additional information inferred by computer programs, imported from other databases and curated from the biomedical literature by biologist curators. BioCyc also provides an extensive range of query tools, visualization services and analysis software. Recent advances in BioCyc include an expansion in the content of BioCyc in terms of both the number of genomes and the types of information available for each genome; an expansion in the amount of curated content within BioCyc; and new developments in the BioCyc software tools including redesigned gene/protein pages and metabolite pages; new search tools; a new sequence-alignment tool; a new tool for visualizing groups of related metabolic pathways; and a facility called SmartTables, which enables biologists to perform analyses that previously would have required a programmer’s assistance.
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ISSN:1467-5463
1477-4054
1477-4054
DOI:10.1093/bib/bbx085