BioMart Central Portal: an open database network for the biological community
Author(s) -
Jonathan M. Guberman,
Jing Ai,
Olivier Arnaiz,
Joachim Baran,
Andrew Blake,
Richard Baldock,
Claude Chelala,
David Croft,
A. Franzi Cros,
Rosalind J. Cutts,
Alex Di Genova,
Simon Forbes,
Takatomo Fujisawa,
Emanuela Gadaleta,
David Goodstein,
Gunes Gundem,
Bernard Haggarty,
Syed Haider,
Matthew D. Hall,
Todd Harris,
Robin Haw,
Shen Hu,
Simon J. Hubbard,
Jack ShihChieh Hsu,
Vivek Iyer,
Philip Jones,
Toshiaki Katayama,
Rhoda Kinsella,
Lei Kong,
Daniel Lawson,
Yong Liang,
Núria López-Bigas,
Jie Luo,
Michael Lush,
James Mason,
François Moreews,
Nelson Ndegwa,
Darren Oakley,
Christian Perez-Llamas,
Michael Primig,
Elena Rivkin,
Steven Rosanoff,
Rebecca Shepherd,
Reinhard Simon,
Bill Skarnes,
D. Smedley,
Linda Sperling,
W. Spooner,
Peter Stevenson,
Kevin Stone,
Jon W. Teague,
Jian Wang,
Jianxin Wang,
Brett R. Whitty,
David T. Wong,
Marie Wong,
L. Yao,
Ken YouensClark,
Christina K. Yung,
Junjun Zhang,
A. Kasprzyk
Publication year - 2011
Publication title -
database
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.406
H-Index - 62
ISSN - 1758-0463
DOI - 10.1093/database/bar041
Subject(s) - computer science , variety (cybernetics) , interface (matter) , ontology , database , resource (disambiguation) , world wide web , biological database , bioinformatics , artificial intelligence , computer network , philosophy , bubble , epistemology , maximum bubble pressure method , parallel computing , biology
BioMart Central Portal is a first of its kind, community-driven effort to provide unified access to dozens of biological databases spanning genomics, proteomics, model organisms, cancer data, ontology information and more. Anybody can contribute an independently maintained resource to the Central Portal, allowing it to be exposed to and shared with the research community, and linking it with the other resources in the portal. Users can take advantage of the common interface to quickly utilize different sources without learning a new system for each. The system also simplifies cross-database searches that might otherwise require several complicated steps. Several integrated tools streamline common tasks, such as converting between ID formats and retrieving sequences. The combination of a wide variety of databases, an easy-to-use interface, robust programmatic access and the array of tools make Central Portal a one-stop shop for biological data querying. Here, we describe the structure of Central Portal and show example queries to demonstrate its capabilities
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