MOTIVATION: A particular challenge of the current omics age is to make sense of the inferred differential expression of genes and proteins. The most common approach is to perform a gene ontology (GO) enrichment analysis, thereby relying on a database that has been extracted from a variety of organisms and that can therefore only yield reliable information on evolutionary conserved functions. RESULTS: We here present a web-based application for a taxon-specific gene set exploration and enrichment analysis, which is expected to yield novel functional insights into newly determined gene sets. The approach is based on the complete collection of curated high-throughput gene expression data sets for the model nematode Caenorhabditis elegans, including 1786 gene sets from more than 350 studies. AVAILABILITY AND IMPLEMENTATION: WormExp is available at http://wormexp.zoologie.uni-kiel.de CONTACTS: hschulenburg@zoologie.uni-kiel.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
MOTIVATION: A particular challenge of the current omics age is to make sense of the inferred differential expression of genes and proteins. The most common approach is to perform a gene ontology (GO) enrichment analysis, thereby relying on a database that has been extracted from a variety of organisms and that can therefore only yield reliable information on evolutionary conserved functions. RESULTS: We here present a web-based application for a taxon-specific gene set exploration and enrichment analysis, which is expected to yield novel functional insights into newly determined gene sets. The approach is based on the complete collection of curated high-throughput gene expression data sets for the model nematode Caenorhabditis elegans, including 1786 gene sets from more than 350 studies. AVAILABILITY AND IMPLEMENTATION: WormExp is available at http://wormexp.zoologie.uni-kiel.de CONTACTS: hschulenburg@zoologie.uni-kiel.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Authors: Ivan Gallotta; Aneet Sandhu; Maximilian Peters; Martin Haslbeck; Raimund Jung; Sinem Agilkaya; Jane L Blersch; Christian Rödelsperger; Waltraud Röseler; Chaolie Huang; Ralf J Sommer; Della C David Journal: Nature Date: 2020-07-08 Impact factor: 49.962
Authors: Aidan Dineen; Erin Osborne Nishimura; Barbara Goszczynski; Joel H Rothman; James D McGhee Journal: Dev Biol Date: 2018-01-31 Impact factor: 3.582
Authors: Amanda L Fry; Amy K Webster; Julia Burnett; Rojin Chitrakar; L Ryan Baugh; E Jane Albert Hubbard Journal: PLoS Genet Date: 2021-07-21 Impact factor: 5.917
Authors: Fan Zhang; Jessica L Weckhorst; Adrien Assié; Ciara Hosea; Christopher A Ayoub; Anastasia S Khodakova; Mario Loeza Cabrera; Daniela Vidal Vilchis; Marie-Anne Félix; Buck S Samuel Journal: Curr Biol Date: 2021-05-27 Impact factor: 10.834