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What is new in FungiDB: a web-based bioinformatics platform for omics-scale data analysis for fungal and oomycete species.

Authors :
Basenko, Evelina Y
Shanmugasundram, Achchuthan
Böhme, Ulrike
Starns, David
Wilkinson, Paul A
Davison, Helen R
Crouch, Kathryn
Maslen, Gareth
Harb, Omar S
Amos, Beatrice
McDowell, Mary Ann
Kissinger, Jessica C
Roos, David S
Jones, Andrew
Source :
Genetics. May2024, Vol. 227 Issue 1, p1-14. 14p.
Publication Year :
2024

Abstract

FungiDB (https://fungidb.org) serves as a valuable online resource that seamlessly integrates genomic and related large-scale data for a wide range of fungal and oomycete species. As an integral part of the VEuPathDB Bioinformatics Resource Center (https://veupathdb.org), FungiDB continually integrates both published and unpublished data addressing various aspects of fungal biology. Established in early 2011, the database has evolved to support 674 datasets. The datasets include over 300 genomes spanning various taxa (e.g. Ascomycota, Basidiomycota, Blastocladiomycota, Chytridiomycota, Mucoromycota, as well as Albuginales, Peronosporales, Pythiales, and Saprolegniales). In addition to genomic assemblies and annotation, over 300 extra datasets encompassing diverse information, such as expression and variation data, are also available. The resource also provides an intuitive web-based interface, facilitating comprehensive approaches to data mining and visualization. Users can test their hypotheses and navigate through omics-scale datasets using a built-in search strategy system. Moreover, FungiDB offers capabilities for private data analysis via the integrated VEuPathDB Galaxy platform. FungiDB also permits genome improvements by capturing expert knowledge through the User Comments system and the Apollo genome annotation editor for structural and functional gene curation. FungiDB facilitates data exploration and analysis and contributes to advancing research efforts by capturing expert knowledge for fungal and oomycete species. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00166731
Volume :
227
Issue :
1
Database :
Academic Search Index
Journal :
Genetics
Publication Type :
Academic Journal
Accession number :
177216326
Full Text :
https://doi.org/10.1093/genetics/iyae035