Nucleic Acids Research Advance Access originally published online on September 18, 2006
Nucleic Acids Research 2007 35(Database issue):D696-D699; doi:10.1093/nar/gkl662
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Nucleic Acids Research, 2007, Vol. 35, Database issue D696-D699
© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Articles |
PhenomicDB: a new cross-species genotype/phenotype resource
1 Research Laboratories of Schering AG, Muellerstrasse 178 13442 Berlin, Germany 2 MetaLife AG, Metapark 1 79297 Winden, Germany
*To whom correspondence should be addressed. Tel: +49 30 468 14 42 4; Fax: +49 30 468 94 42 4; Email: bertram.weiss{at}schering.de
Received July 14, 2006. Accepted August 24, 2006.
Phenotypes are an important subject of biomedical research for which many repositories have already been created. Most of these databases are either dedicated to a single species or to a single disease of interest. With the advent of technologies to generate phenotypes in a high-throughput manner, not only is the volume of phenotype data growing fast but also the need to organize these data in more useful ways. We have created PhenomicDB (freely available at http://www.phenomicdb.de), a multi-species genotype/phenotype database, which shows phenotypes associated with their corresponding genes and grouped by gene orthologies across a variety of species. We have enhanced PhenomicDB recently by additionally incorporating quantitative and descriptive RNA interference (RNAi) screening data, by enabling the usage of phenotype ontology terms and by providing information on assays and cell lines. We envision that integration of classical phenotypes with high-throughput data will bring new momentum and insights to our understanding. Modern analysis tools under development may help exploiting this wealth of information to transform it into knowledge and, eventually, into novel therapeutic approaches.
CiteULike 
Connotea 
Del.icio.us What's this?
This article has been cited by other articles:
|
|
 |
|
  J. M. Hancock and A.-M. Mallon Phenobabelomics mouse phenotype data resources Brief Funct Genomic Proteomic, January 11, 2008; (2008) elm033v1. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 A. Pati, Y. Jin, K. Klage, R. F. Helm, L. S. Heath, and N. Ramakrishnan CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining Nucleic Acids Res., January 11, 2008; 36(suppl_1): D69 - D76. [Abstract] [Full Text] [PDF]
|
|