Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1782125925503074304 |
---|---|
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. |
format | Text |
id | pubmed-1266070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT karppeterd expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes AT ouzounischristosa expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes AT moorekochlacscaroline expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes AT goldovskyleon expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes AT kaipapallavi expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes AT ahrendag expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes AT tsokasophia expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes AT darzentasnikos expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes AT kuninvictor expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes AT lopezbigasnuria expansionofthebiocyccollectionofpathwaygenomedatabasesto160genomes |