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Related Experiment Video

Updated: Jul 19, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

GeneTools--application for functional annotation and statistical hypothesis testing.

Vidar Beisvag¹, Frode K R Jünge, Hallgeir Bergum

¹Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway. vidar.beisvag@ntnu.no

BMC Bioinformatics

|October 26, 2006

Summary

GeneTools offers an integrated solution for genomic-scale data analysis, providing rapid gene annotation and hypothesis testing for thousands of genes. This web-service facilitates interpretation of complex biological data, supporting researchers in batch mode analysis.

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Published on: December 7, 2021

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Modern biology utilizes genomic-scale analysis, necessitating tools for interpreting large datasets.
Existing gene-set testing tools often yield unorganized information, highlighting a need for integrated solutions.
The field requires advanced methods for efficient biological data interpretation in batch mode.

Purpose of the Study:

To develop an integrated web-service for comprehensive gene annotation and analysis.
To provide researchers with tools for efficient interpretation of large-scale genomic data.
To facilitate hypothesis testing on gene ontology category representation.

Main Methods:

GeneTools web-service integrates data from diverse resources with weekly updates.
Provides NMC Annotation Tool for single- and batch searches across multiple databases (UniGene, Entrez Gene, SwissProt, Gene Ontology).
Includes GO Annotator Tool for user-defined annotations and eGOn for visualization and statistical hypothesis testing of GO categories.

Main Results:

GeneTools offers an "all in one" solution for rapid extraction of gene annotation data for thousands of genes.
User-defined Gene Ontology (GO) annotations can be archived and used in further analysis.
The eGOn tool supports hypothesis testing for various scenarios with an evidence-code filter.

Conclusions:

GeneTools is the first comprehensive annotation tool for rapid, large-scale gene data extraction.
It enables users to define, archive, and analyze Gene Ontology annotations.
The platform supports hypothesis testing for GO category representations, enhancing biological data interpretation.