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Updated: Mar 14, 2026

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Finding approximate gene clusters with Gecko 3.

Sascha Winter¹, Katharina Jahn^2,3,4, Stefanie Wehner^5,6

¹Chair for Bioinformatics, Institute for Computer Science, Friedrich-Schiller-University Jena, Jena, Germany.

Nucleic Acids Research

|September 29, 2016

Summary

This summary is machine-generated.

Gecko 3 is a new bioinformatics tool that identifies gene clusters across hundreds of bacterial genomes. This software aids in functional gene analysis and understanding genome evolution.

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

Genomics
Bioinformatics
Evolutionary Biology

Background:

Comparative genomics reveals functional gene insights and genome evolution.
Gene clusters, co-localized genes across species, are crucial for analysis.
Existing tools for gene cluster identification are limited in scope and assumptions.

Purpose of the Study:

To introduce Gecko 3, an open-source software for identifying gene clusters in numerous bacterial genomes.
To provide a user-friendly graphical interface for gene cluster analysis.
To develop a flexible gene cluster model capable of handling conservation variations and misannotations.

Main Methods:

Developed Gecko 3, an open-source software with a graphical user interface.
Implemented an intuitive gene cluster model with statistical evaluation.
Applied Gecko 3 to a dataset of 678 bacterial genomes, using Synechocystis sp. PCC 6803 as a reference.

Main Results:

Successfully identified gene clusters in hundreds of bacterial genomes.
Confirmed detected clusters through literature review and operon database comparison.
Discovered two novel gene clusters, validated by RNA-Seq data.

Conclusions:

Gecko 3 is an efficient and effective tool for large-scale gene cluster identification.
The software aids in functional gene analysis and evolutionary studies.
Gecko 3 provides a robust method for discovering novel gene clusters in bacterial genomes.