TAILIEUCHUNG - Báo cáo y học: "Reactome: a knowledge base of biologic pathways and processes"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Reactome: a knowledge base of biologic pathways and processes. | Open Access Software Reactome a knowledge base of biologic pathways and processes Imre Vastrik Peter D Eustachion Esther Schmidt Geeta Joshi-Tope Gopal Gopmath David Croft Bernard de Bono Marc Gillespie Bijay Jassal Suzanna Lewis Lisa Matthews Guanming Wuf Ewan Birney and Lincoln Stein Addresses European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SD UK. Cold Spring Harbor Laboratory Bungtown Road Cold Spring Harbor NY 11724 USA. NYU School of Medicine First Avenue New York NY 10016 USA. College of Pharmacy and Allied Health Professions St. John s University Utopia Parkway Queens NY 11439 USA. Lawrence Berkeley National Laboratory Cyclotron Road 64R0121 Berkeley CA 94720 USA. Correspondence Lincoln Stein. Email lstein@ Published 16 March 2007 Genome Biology 2007 8 R39 doi 186 gb-2007-8-3-r39 The electronic version of this article is the complete one and can be found online at http 2007 8 3 R39 Received 20 October 2006 Revised 19 December 2006 Accepted 16 March 2007 2007 Vastrik et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Reactome http an online curated resource for human pathway data provides infrastructure for computation across the biologic reaction network. We use Reactome to infer equivalent reactions in multiple nonhuman species and present data on the reliability of these inferred reactions for the distantly related eukaryote Saccharomyces cerevisiae. Finally we describe the use of Reactome both as a learning resource and as a computational tool to aid in the interpretation of microarrays and similar large-scale datasets. Rationale When the human genome program was first envisioned it was anticipated that having a .

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