e-Fungi: a data resource for comparative analysis of fungal genomes

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e-Fungi: a data resource for comparative analysis of fungal genomes

Please use this identifier to cite or link to this item: http://hdl.handle.net/10036/38245


Title: e-Fungi: a data resource for comparative analysis of fungal genomes
Author: Hedeler, Cornelia
Wong, Han Min
Cornell, Michael J.
Alam, Intikhab
Soanes, Darren M
Rattray, Magnus
Hubbard, Simon J.
Talbot, Nicholas J
Oliver, Stephen G.
Paton, Norman W.
Citation: BMC Genomics 2007 8:426
Publisher: BioMed Central
Journal: BMC Genomics
Date Issued: 2007-11-20
URI: http://hdl.handle.net/10036/38245
DOI: 10.1186/1471-2164-8-426
Links: http://www.biomedcentral.com/1471-2164/8/426 http://creativecommons.org/licenses/by/2.0
Abstract: Background The number of sequenced fungal genomes is ever increasing, with about 200 genomes already fully sequenced or in progress. Only a small percentage of those genomes have been comprehensively studied, for example using techniques from functional genomics. Comparative analysis has proven to be a useful strategy for enhancing our understanding of evolutionary biology and of the less well understood genomes. However, the data required for these analyses tends to be distributed in various heterogeneous data sources, making systematic comparative studies a cumbersome task. Furthermore, comparative analyses benefit from close integration of derived data sets that cluster genes or organisms in a way that eases the expression of requests that clarify points of similarity or difference between species. Description To support systematic comparative analyses of fungal genomes we have developed the e-Fungi database, which integrates a variety of data for more than 30 fungal genomes. Publicly available genome data, functional annotations, and pathway information has been integrated into a single data repository and complemented with results of comparative analyses, such as MCL and OrthoMCL cluster analysis, and predictions of signaling proteins and the sub-cellular localisation of proteins. To access the data, a library of analysis tasks is available through a web interface. The analysis tasks are motivated by recent comparative genomics studies, and aim to support the study of evolutionary biology as well as community efforts for improving the annotation of genomes. Web services for each query are also available, enabling the tasks to be incorporated into workflows. Conclusion The e-Fungi database provides fungal biologists with a resource for comparative studies of a large range of fungal genomes. Its analysis library supports the comparative study of genome data, functional annotation, and results of large scale analyses over all the genomes stored in the database. The database is accessible at , as is the WSDL for the web services.
Type: Article
ISSN: 1471-2164
PubMed ID: 18028535
PubMed Central ID: 2242804
Rights: Copyright © 2007 Hedeler et al; licensee BioMed Central Ltd.

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