Martini: using literature keywords to compare gene sets

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• Life scientists compare gene sets to understand differences in phenotypes or conditions.
• Existing gene set comparison tools often rely on Gene Ontology (GO) terms, which can be too generic or uninformative.

Purpose of the Study:

• Introduce Martini, an accessible tool for gene set comparison.
• Utilize literature-derived keywords for enhanced functional annotation.
• Support a broader range of species compared to existing tools.

Main Methods:

• Developed Martini, a novel gene set comparison tool.
• Extracted keywords from Medline abstracts for functional analysis.
• Evaluated Martini using a human cell cycle benchmark and other datasets.
• Compared Martini's performance against CoPub, FatiGO, Marmite, and ProfCom.

Main Results:

• Martini demonstrated superior performance on the human cell cycle benchmark.
• The tool provided more detailed and accurate functional descriptions.
• Martini achieved top or comparable results on additional datasets (Arabidopsis, melanoma, ovarian cancer).

Conclusions:

• Martini represents an advancement in automated gene set comparison.
• Literature-derived keywords offer a richer source of gene-function information than GO annotations.
• Martini is a valuable, freely available resource for life scientists.