EuPathDB: the eukaryotic pathogen genomics database resource

Cristina Aurrecoechea(University of Georgia), Ana Barreto(University of Pennsylvania), Evelina Y. Basenko(University of Georgia), John Brestelli(University of Pennsylvania), Brian P. Brunk(University of Pennsylvania), Shon Cade(University of Pennsylvania), Kathryn Crouch(Wellcome Centre for Molecular Parasitology), Ryan Doherty(University of Pennsylvania), Dave Falke(University of Georgia), Steve Fischer(University of Pennsylvania), Bindu Gajria(University of Pennsylvania), Omar S. Harb(University of Pennsylvania), Mark Heiges(University of Georgia), Christiane Hertz‐Fowler(University of Liverpool), Sufen Hu(University of Pennsylvania), John Iodice(University of Pennsylvania), Jessica C. Kissinger(University of Georgia), Cris Lawrence(University of Pennsylvania), Wei Li(University of Pennsylvania), Deborah F. Pinney(University of Pennsylvania), Jane A. Pulman(University of Liverpool), David S. Roos(University of Pennsylvania), Achchuthan Shanmugasundram(University of Liverpool), Fátima Silva-Franco(University of Liverpool), Sascha Steinbiss(Wellcome Sanger Institute), Christian J. Stoeckert(University of Pennsylvania), Drew Spruill(University of Georgia), Haiming Wang(University of Georgia), Susanne Warrenfeltz(University of Georgia), Jie Zheng(University of Pennsylvania)
Nucleic Acids Research
October 28, 2016
Cited by 241Open Access
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Abstract

The Eukaryotic Pathogen Genomics Database Resource (EuPathDB, http://eupathdb.org) is a collection of databases covering 170+ eukaryotic pathogens (protists & fungi), along with relevant free-living and non-pathogenic species, and select pathogen hosts. To facilitate the discovery of meaningful biological relationships, the databases couple preconfigured searches with visualization and analysis tools for comprehensive data mining via intuitive graphical interfaces and APIs. All data are analyzed with the same workflows, including creation of gene orthology profiles, so data are easily compared across data sets, data types and organisms. EuPathDB is updated with numerous new analysis tools, features, data sets and data types. New tools include GO, metabolic pathway and word enrichment analyses plus an online workspace for analysis of personal, non-public, large-scale data. Expanded data content is mostly genomic and functional genomic data while new data types include protein microarray, metabolic pathways, compounds, quantitative proteomics, copy number variation, and polysomal transcriptomics. New features include consistent categorization of searches, data sets and genome browser tracks; redesigned gene pages; effective integration of alternative transcripts; and a EuPathDB Galaxy instance for private analyses of a user's data. Forthcoming upgrades include user workspaces for private integration of data with existing EuPathDB data and improved integration and presentation of host-pathogen interactions.


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