Details

Autor(en) / Beteiligte

• Guberman, Jonathan M
• Ai, J
• Arnaiz, O
• Baran, Joachim
• Blake, Andrew
• Baldock, Richard
• Chelala, Claude
• Croft, David
• Cros, Anthony
• Cutts, Rosalind J
• Di Génova, A
• Forbes, Simon
• Fujisawa, T
• Gadaleta, E
• Goodstein, D M
• Gundem, Gunes
• Haggarty, Bernard
• Haider, Syed
• Hall, Matthew
• Harris, Todd
• Haw, Robin
• Hu, S
• Hubbard, Simon
• Hsu, Jack
• Iyer, Vivek
• Jones, Philip
• Katayama, Toshiaki
• Kinsella, R
• Kong, Lei
• Lawson, Daniel
• Liang, Yong
• Lopez-Bigas, Nuria
• Luo, J
• Lush, Michael
• Mason, Jeremy
• Moreews, Francois
• Ndegwa, Nelson
• Oakley, Darren
• Perez-Llamas, Christian
• Primig, Michael
• Rivkin, Elena
• Rosanoff, S
• Shepherd, Rebecca
• Simon, Reinhard
• Skarnes, B
• Smedley, Damian
• Sperling, Linda
• Spooner, William
• Stevenson, Peter
• Stone, Kevin
• Teague, J
• Wang, Jun
• Wang, Jianxin
• Whitty, Brett
• Wong, D T
• Wong-Erasmus, Marie
• Yao, L
• Youens-Clark, Ken
• Yung, Christina
• Zhang, Junjun
• Kasprzyk, Arek

Titel

BioMart Central Portal: an open database network for the biological community

Ist Teil von

• Database : the journal of biological databases and curation, 2011-01, Vol.2011, p.bar041-bar041

Ort / Verlag

England: Oxford University Press

Erscheinungsjahr

2011

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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.