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Updated: Jun 22, 2026

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
Published on: May 28, 2021
GoGene: gene annotation in the fast lane
Conrad Plake1, Loic Royer, Rainer Winnenburg
1Biotechnology Center, Technische Universität Dresden, 01307 Dresden, Germany. conrad.plake@biotec.tu-dresden.de
GoGene enhances gene discovery by integrating manual Gene Ontology annotations with text mining of biomedical literature. This approach expands gene information beyond function and location, offering comprehensive, literature-backed data for 10 model organisms.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- High-throughput screening generates vast gene datasets requiring comprehensive annotation.
- Existing Gene Ontology annotations are limited to gene process, function, and location, and do not cover all genes.
- A need exists for broader, literature-supported gene information beyond curated ontologies.
Purpose of the Study:
- To develop GoGene, a system that complements manual gene annotations with high-throughput text mining.
- To expand gene information to include diseases, compounds, techniques, and mutations.
- To provide the most current and complete gene facts, ranked by novelty and importance.
Main Methods:
- Text mining of over 18 million PubMed entries to extract gene-term co-occurrences.
- Integration of high-throughput text mining with existing Gene Ontology annotations.
- Development of a searchable database (GoGene) covering 10 model organisms.
Main Results:
- GoGene contains over 4 million associations between genes and biomedical terms.
- The database covers genes beyond process, function, and location, including diseases, compounds, techniques, and mutations.
- Search functionalities include keywords, gene lists, sequences, PubMed, EntrezGene, and BLAST, with literature evidence provided.
Conclusions:
- GoGene addresses limitations of manual annotations by incorporating text mining for comprehensive gene information.
- The system provides transparent, literature-supported gene associations, enhancing gene discovery and research.
- GoGene offers a valuable, up-to-date resource for exploring gene functions and relationships in model organisms.
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