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将BioCyc通路/基因组数据库集合扩展至160个基因组。

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

作者信息

Karp Peter D, Ouzounis Christos A, Moore-Kochlacs Caroline, Goldovsky Leon, Kaipa Pallavi, Ahrén Dag, Tsoka Sophia, Darzentas Nikos, Kunin Victor, López-Bigas Núria

机构信息

Bioinformatics Research Group, SRI International EK207, 333 Ravenswood Avenue, Menlo Park, CA 94025, USA.

出版信息

Nucleic Acids Res. 2005 Oct 24;33(19):6083-9. doi: 10.1093/nar/gki892. Print 2005.

Abstract

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.

摘要

BioCyc数据库集合是一组针对大多数真核生物和原核生物物种的160个通路/基因组数据库(PGDB),这些物种的基因组迄今已被完全测序。BioCyc集合中的每个PGDB都描述了单个生物体的基因组和预测的代谢网络,这些信息是从MetaCyc数据库推断而来的,MetaCyc数据库是多个生物体代谢通路的参考来源。此外,每个细菌PGDB还包括相应物种的预测操纵子。BioCyc集合为计算系统生物学提供了一个独特的资源,即对基因组和代谢网络进行全局和比较分析,也是对经过精心策划的PGDB的BioCyc资源的补充。通过BioCyc网站提供的组学浏览器使科学家能够在这些生物体的代谢图谱上可视化基因表达、蛋白质组学和代谢组学数据的组合。本文讨论了扩展BioCyc集合所采用的计算方法,并对该集合进行了综合分析,包括这些生物体中存在的通路数量范围以及最常观察到的通路。我们寻求科学家采用并精心策划BioCyc集合中的各个PGDB。只有借助众多科学家的专业知识,我们才有希望创建出能准确反映生物医学研究界所产生知识的深度和广度的生物数据库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b754/1266070/c7d019e7e049/gki892f1.jpg

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