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FlyPhy: a phylogenomic analysis platform for Drosophila genes and gene families

Jinyu Wu1* email, Xiang Xu2* email, Jian Xiao2 email, Long Xu2 email, Huiguang Yi1 email, Shengjie Gao1 email, Jing Liu1 email, Qiyu Bao1 email, Fangqing Zhao3 email and Xiaokun Li2 email

Institute of Biomedical Informatics/Zhejiang Provincial Key Laboratory of Medical Genetics, Wenzhou Medical College, Wenzhou 325000, PR China

School of Pharmaceutical Science/Zhejiang Provincial Key Laboratory of Biotechnology Pharmaceutical Engineering, Wenzhou Medical College, Wenzhou 325035, PR China

Department of Biochemistry and Molecular Biology, Pennsylvania State University, Pennsylvania 16802, USA

author email corresponding author email* Contributed equally

BMC Bioinformatics 2009, 10:123doi:10.1186/1471-2105-10-123

Published: 25 April 2009

Abstract

Background

The availability of 12 fully sequenced Drosophila species genomes provides an excellent opportunity to explore the evolutionary mechanism, structure and function of gene families in Drosophila. Currently, several important resources, such as FlyBase, FlyMine and DroSpeGe, have been devoted to integrating genetic, genomic, and functional data of Drosophila into a well-organized form. However, all of these resources are gene-centric and lack the information of the gene families in Drosophila.

Description

FlyPhy is a comprehensive phylogenomic analysis platform devoted to analyzing the genes and gene families in Drosophila. Genes were classified into families using a graph-based Markov Clustering algorithm and extensively annotated by a number of bioinformatic tools, such as basic sequence features, functional category, gene ontology terms, domain organization and sequence homolog to other databases. FlyPhy provides a simple and user-friendly web interface to allow users to browse and retrieve the information at multiple levels. An outstanding feature of the FlyPhy is that all the retrieved results can be added to a workset for further data manipulation. For the data stored in the workset, multiple sequence alignment, phylogenetic tree construction and visualization can be easily performed to investigate the sequence variation of each given family and to explore its evolutionary mechanism.

Conclusion

With the above functionalities, FlyPhy will be a useful resource and convenient platform for the Drosophila research community. The FlyPhy is available at http://bioinformatics.zj.cn/fly/ webcite.


© 1999-2009 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.