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This article is part of the supplement: Beyond the Genome: The true gene count, human evolution and disease genomics

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MamPhEA: a web tool for mammalian phenotype enrichment analysis

Meng-Pin Weng* and Ben-Yang Liao

  • * Corresponding author: Meng-Pin Weng

Author Affiliations

Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County 350, Taiwan

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Genome Biology 2010, 11(Suppl 1):P27  doi:10.1186/gb-2010-11-s1-p27

The electronic version of this article is the complete one and can be found online at:

Published:11 October 2010

© 2010 Weng and Liao; licensee BioMed Central Ltd.


Most mouse (Mus musculus) mutants generated in laboratories have been designed to aid the study of human genetics, physiology or diseases progression. To date, nearly 9000 genes in the mouse genome have been mutated; these have been phenotyped in such a way that resembles human clinical examinations. The mutant phenotypes characterize the consequence of disturbing or disrupting the information output of a gene and thus are ideal to aid understanding of how genes function at the systems level. Therefore, enrichment analyses incorporating mouse mutant phenotypes are particularly useful in studying mammalian functional genomics in the post-genome era.


We have developed MamPhEA (Mammalian Phenotype Enrichment Analysis), a web application dedicated to understanding functional properties of mammalian gene sets based on mouse mutant phenotypes [1]. It allows users to conduct enrichment analysis on predefined or user- defined phenotypes, gives users the option to specify phenotypes derived from null mutations, produces easily comprehensible results, and supports analyses on genes of all mammalian species with a fully sequenced genome. MamPhEA is freely available at webcite. Figure 1

thumbnailFigure 1. Screenshot of MamPhEA.


  1. Weng Meng-Pin, Liao Ben-Yang: MamPhEA: a Web tool for Mammalian Phenotype Enrichment Analysis.

    Bioinformatics 2010, in press. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL