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Expansion of the BioCyc collection of pathway/genome databases to 160 genomes

The BioCyc database collection is a set of 160 pathway/genome databases (PGDBs) for most eukaryotic and prokaryotic species whose genomes have been completely sequenced to date. Each PGDB in the BioCyc collection describes the genome and predicted metabolic network of a single organism, inferred fro...

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Autores principales: Karp, Peter D., Ouzounis, Christos A., Moore-Kochlacs, Caroline, Goldovsky, Leon, Kaipa, Pallavi, Ahrén, Dag, Tsoka, Sophia, Darzentas, Nikos, Kunin, Victor, López-Bigas, Núria
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1266070/
https://www.ncbi.nlm.nih.gov/pubmed/16246909
http://dx.doi.org/10.1093/nar/gki892
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author Karp, Peter D.
Ouzounis, Christos A.
Moore-Kochlacs, Caroline
Goldovsky, Leon
Kaipa, Pallavi
Ahrén, Dag
Tsoka, Sophia
Darzentas, Nikos
Kunin, Victor
López-Bigas, Núria
author_facet Karp, Peter D.
Ouzounis, Christos A.
Moore-Kochlacs, Caroline
Goldovsky, Leon
Kaipa, Pallavi
Ahrén, Dag
Tsoka, Sophia
Darzentas, Nikos
Kunin, Victor
López-Bigas, Núria
author_sort Karp, Peter D.
collection PubMed
description The BioCyc database collection is a set of 160 pathway/genome databases (PGDBs) for most eukaryotic and prokaryotic species whose genomes have been completely sequenced to date. Each PGDB in the BioCyc collection describes the genome and predicted metabolic network of a single organism, inferred from the MetaCyc database, which is a reference source on metabolic pathways from multiple organisms. In addition, each bacterial PGDB includes predicted operons for the corresponding species. The BioCyc collection provides a unique resource for computational systems biology, namely global and comparative analyses of genomes and metabolic networks, and a supplement to the BioCyc resource of curated PGDBs. The Omics viewer available through the BioCyc website allows scientists to visualize combinations of gene expression, proteomics and metabolomics data on the metabolic maps of these organisms. This paper discusses the computational methodology by which the BioCyc collection has been expanded, and presents an aggregate analysis of the collection that includes the range of number of pathways present in these organisms, and the most frequently observed pathways. We seek scientists to adopt and curate individual PGDBs within the BioCyc collection. Only by harnessing the expertise of many scientists we can hope to produce biological databases, which accurately reflect the depth and breadth of knowledge that the biomedical research community is producing.
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spelling pubmed-12660702005-10-26 Expansion of the BioCyc collection of pathway/genome databases to 160 genomes Karp, Peter D. Ouzounis, Christos A. Moore-Kochlacs, Caroline Goldovsky, Leon Kaipa, Pallavi Ahrén, Dag Tsoka, Sophia Darzentas, Nikos Kunin, Victor López-Bigas, Núria Nucleic Acids Res Article The BioCyc database collection is a set of 160 pathway/genome databases (PGDBs) for most eukaryotic and prokaryotic species whose genomes have been completely sequenced to date. Each PGDB in the BioCyc collection describes the genome and predicted metabolic network of a single organism, inferred from the MetaCyc database, which is a reference source on metabolic pathways from multiple organisms. In addition, each bacterial PGDB includes predicted operons for the corresponding species. The BioCyc collection provides a unique resource for computational systems biology, namely global and comparative analyses of genomes and metabolic networks, and a supplement to the BioCyc resource of curated PGDBs. The Omics viewer available through the BioCyc website allows scientists to visualize combinations of gene expression, proteomics and metabolomics data on the metabolic maps of these organisms. This paper discusses the computational methodology by which the BioCyc collection has been expanded, and presents an aggregate analysis of the collection that includes the range of number of pathways present in these organisms, and the most frequently observed pathways. We seek scientists to adopt and curate individual PGDBs within the BioCyc collection. Only by harnessing the expertise of many scientists we can hope to produce biological databases, which accurately reflect the depth and breadth of knowledge that the biomedical research community is producing. Oxford University Press 2005 2005-10-24 /pmc/articles/PMC1266070/ /pubmed/16246909 http://dx.doi.org/10.1093/nar/gki892 Text en © The Author 2005. Published by Oxford University Press. All rights reserved
spellingShingle Article
Karp, Peter D.
Ouzounis, Christos A.
Moore-Kochlacs, Caroline
Goldovsky, Leon
Kaipa, Pallavi
Ahrén, Dag
Tsoka, Sophia
Darzentas, Nikos
Kunin, Victor
López-Bigas, Núria
Expansion of the BioCyc collection of pathway/genome databases to 160 genomes
title Expansion of the BioCyc collection of pathway/genome databases to 160 genomes
title_full Expansion of the BioCyc collection of pathway/genome databases to 160 genomes
title_fullStr Expansion of the BioCyc collection of pathway/genome databases to 160 genomes
title_full_unstemmed Expansion of the BioCyc collection of pathway/genome databases to 160 genomes
title_short Expansion of the BioCyc collection of pathway/genome databases to 160 genomes
title_sort expansion of the biocyc collection of pathway/genome databases to 160 genomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1266070/
https://www.ncbi.nlm.nih.gov/pubmed/16246909
http://dx.doi.org/10.1093/nar/gki892
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