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Authors = David Starns ORCID = 0000-0001-6583-9067

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28 pages, 13313 KiB  
Tutorial
FungiDB: An Integrated Bioinformatic Resource for Fungi and Oomycetes
by Evelina Y. Basenko, Jane A. Pulman, Achchuthan Shanmugasundram, Omar S. Harb, Kathryn Crouch, David Starns, Susanne Warrenfeltz, Cristina Aurrecoechea, Christian J. Stoeckert, Jessica C. Kissinger, David S. Roos and Christiane Hertz-Fowler
J. Fungi 2018, 4(1), 39; https://doi.org/10.3390/jof4010039 - 20 Mar 2018
Cited by 270 | Viewed by 17575
Abstract
FungiDB (fungidb.org) is a free online resource for data mining and functional genomics analysis for fungal and oomycete species. FungiDB is part of the Eukaryotic Pathogen Genomics Database Resource (EuPathDB, eupathdb.org) platform that integrates genomic, transcriptomic, proteomic, and phenotypic datasets, and other types [...] Read more.
FungiDB (fungidb.org) is a free online resource for data mining and functional genomics analysis for fungal and oomycete species. FungiDB is part of the Eukaryotic Pathogen Genomics Database Resource (EuPathDB, eupathdb.org) platform that integrates genomic, transcriptomic, proteomic, and phenotypic datasets, and other types of data for pathogenic and nonpathogenic, free-living and parasitic organisms. FungiDB is one of the largest EuPathDB databases containing nearly 100 genomes obtained from GenBank, Aspergillus Genome Database (AspGD), The Broad Institute, Joint Genome Institute (JGI), Ensembl, and other sources. FungiDB offers a user-friendly web interface with embedded bioinformatics tools that support custom in silico experiments that leverage FungiDB-integrated data. In addition, a Galaxy-based workspace enables users to generate custom pipelines for large-scale data analysis (e.g., RNA-Seq, variant calling, etc.). This review provides an introduction to the FungiDB resources and focuses on available features, tools, and queries and how they can be used to mine data across a diverse range of integrated FungiDB datasets and records. Full article
(This article belongs to the Special Issue Genomic Data in Pathogenic Fungi)
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