hgv_linktogprofile

hgv_linktogprofile links gene lists to g:GOSt (g:Profiler) to enable functional profiling and enrichment analysis across Gene Ontology (GO), pathways, and transcription factor binding sites for interpretation of high-throughput genomic data.


Key Features:

  • Functional Profiling: Links gene lists to g:GOSt within g:Profiler to assess GO, pathway, and transcription factor binding site enrichments, including analyses at individual gene levels.
  • Ranked and Co-expression Analysis Support: Supports analysis of ranked gene lists and integration with co-expression results to interpret high-throughput and next-generation sequencing datasets.
  • Multiple Testing Correction: Applies advanced statistical methods for multiple testing correction, including a method tailored for complex GO structure.
  • g:Convert: Converts identifiers across different databases to ensure identifier compatibility for downstream analyses.
  • g:Orth: Identifies orthologous genes across species to support comparative genomics analyses.
  • g:Sorter: Searches public gene expression datasets to find co-expressed genes for network and pathway exploration.
  • Species Coverage and Data Updates: Provides data for 31 species with annotations updated from the Ensembl database.
  • Integration and Reproducible Outputs: Integrates with g:Profiler workflows and provides simple textual outputs to support reproducibility and tracking of computational analyses.

Scientific Applications:

  • Functional enrichment of gene sets: Interprets gene lists from high-throughput assays and next-generation sequencing via GO, pathway, and TFBS enrichment.
  • Analysis of ranked and co-expression results: Interprets ranked gene lists and co-expression-derived gene sets to identify biologically relevant processes and regulators.
  • Comparative genomics: Uses ortholog mapping to transfer functional interpretations across species.
  • Identifier harmonization for multi-database studies: Resolves cross-database identifier issues to enable integrated analyses.

Methodology:

Links input gene lists to g:GOSt for enrichment analysis (GO, pathways, TFBS); applies multiple testing correction methods including a GO-structure-aware method; uses g:Convert for ID conversion, g:Orth for ortholog mapping, g:Sorter to query public expression datasets; and retrieves species annotations updated from Ensembl.

Topics

Collections

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
12/19/2016
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Data handling

Publications

Reimand J, Kull M, Peterson H, Hansen J, Vilo J. g:Profiler—a web-based toolset for functional profiling of gene lists from large-scale experiments. Nucleic Acids Research. 2007;35(suppl_2):W193-W200. doi:10.1093/nar/gkm226. PMID:17478515. PMCID:PMC1933153.

Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.

Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.

Documentation

Links