Literature DB >> 18025693

Gecko and GhostFam: rigorous and efficient gene cluster detection in prokaryotic genomes.

Thomas Schmidt, Jens Stoye.   

Abstract

A popular approach in comparative genomics is to locate groups or clusters of orthologous genes in multiple genomes and to postulate functional association between the genes contained in such clusters. For a rigorous and efficient detection in multiple genomes, it is essential to have an appropriate model of gene clusters accompanied by efficient algorithms locating them. The Gecko method described herein was designed to serve as a basic tool for the detection and visualization of gene cluster data in prokaryotic genomes founded on a formal string-based gene cluster model.

Mesh:

Year:  2007        PMID: 18025693     DOI: 10.1007/978-1-59745-515-2_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  Statistics for approximate gene clusters.

Authors:  Katharina Jahn; Sascha Winter; Jens Stoye; Sebastian Böcker
Journal:  BMC Bioinformatics       Date:  2013-12-13       Impact factor: 3.169

2.  Finding approximate gene clusters with Gecko 3.

Authors:  Sascha Winter; Katharina Jahn; Stefanie Wehner; Leon Kuchenbecker; Manja Marz; Jens Stoye; Sebastian Böcker
Journal:  Nucleic Acids Res       Date:  2016-09-26       Impact factor: 16.971

3.  Functional genomics and expression analysis of the Corynebacterium glutamicum fpr2-cysIXHDNYZ gene cluster involved in assimilatory sulphate reduction.

Authors:  Christian Rückert; Daniel J Koch; Daniel A Rey; Andreas Albersmeier; Sascha Mormann; Alfred Pühler; Jörn Kalinowski
Journal:  BMC Genomics       Date:  2005-09-13       Impact factor: 3.969

4.  Gene expansion shapes genome architecture in the human pathogen Lichtheimia corymbifera: an evolutionary genomics analysis in the ancient terrestrial mucorales (Mucoromycotina).

Authors:  Volker U Schwartze; Sascha Winter; Ekaterina Shelest; Marina Marcet-Houben; Fabian Horn; Stefanie Wehner; Jörg Linde; Vito Valiante; Michael Sammeth; Konstantin Riege; Minou Nowrousian; Kerstin Kaerger; Ilse D Jacobsen; Manja Marz; Axel A Brakhage; Toni Gabaldón; Sebastian Böcker; Kerstin Voigt
Journal:  PLoS Genet       Date:  2014-08-14       Impact factor: 5.917

5.  GraphTeams: a method for discovering spatial gene clusters in Hi-C sequencing data.

Authors:  Tizian Schulz; Jens Stoye; Daniel Doerr
Journal:  BMC Genomics       Date:  2018-05-08       Impact factor: 3.969

  5 in total

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