Abstract

Abstract Biological data analysis often deals with lists of genes arising from various studies. The g:Profiler toolset is widely used for finding biological categories enriched in gene lists, conversions between gene identifiers and mappings to their orthologs. The mission of g:Profiler is to provide a reliable service based on up-to-date high quality data in a convenient manner across many evidence types, identifier spaces and organisms. g:Profiler relies on Ensembl as a primary data source and follows their quarterly release cycle while updating the other data sources simultaneously. The current update provides a better user experience due to a modern responsive web interface, standardised API and libraries. The results are delivered through an interactive and configurable web design. Results can be downloaded as publication ready visualisations or delimited text files. In the current update we have extended the support to 467 species and strains, including vertebrates, plants, fungi, insects and parasites. By supporting user uploaded custom GMT files, g:Profiler is now capable of analysing data from any organism. All past releases are maintained for reproducibility and transparency. The 2019 update introduces an extensive technical rewrite making the services faster and more flexible. g:Profiler is freely available at https://biit.cs.ut.ee/gprofiler.

Keywords

EnsemblIdentifierUploadBiologyDatabaseUser interfaceComputer scienceInterface (matter)World Wide WebGeneOperating systemGenomicsGeneticsProgramming language

MeSH Terms

AnimalsDatabasesGeneticFungiGenomeHumansInformation Storage and RetrievalParasitesPlantsSoftware

Affiliated Institutions

Related Publications

Publication Info

Year
2019
Type
article
Volume
47
Issue
W1
Pages
W191-W198
Citations
5069
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

5069
OpenAlex
255
Influential
4239
CrossRef

Cite This

Uku Raudvere, Liis Kolberg, Ivan Kuzmin et al. (2019). g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update). Nucleic Acids Research , 47 (W1) , W191-W198. https://doi.org/10.1093/nar/gkz369

Identifiers

DOI
10.1093/nar/gkz369
PMID
31066453
PMCID
PMC6602461

Data Quality

Data completeness: 90%