Geneclusterviz: A tool for conserved gene cluster visualization, exploration and analysis

Vikas R. Pejaver, Jaehyun An, Sung Min Rhee, Ankita Bhan, Jeong Hyeon Choi, Boshu Liu, Heewook Lee, Pamela J. Brown, David Kysela, Yves V. Brun, Sun Kim

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Motivation: Gene clusters are arrangements of functionally related genes on a chromosome. In bacteria, it is expected that evolutionary pressures would conserve these arrangements due to the functional advantages they provide. Visualization of conserved gene clusters across multiple genomes provides key insights into their evolutionary histories. Therefore, a software tool that enables visualization and functional analyses of gene clusters would be a great asset to the biological research community.Results: We have developed GeneclusterViz, a Java-based tool that allows for the visualization, exploration and downstream analyses of conserved gene clusters across multiple genomes. GeneclusterViz combines an easy-to-use exploration interface for gene clusters with a host of other analysis features such as multiple sequence alignments, phylogenetic analyses and integration with the KEGG pathway database.

Original languageEnglish (US)
Article numberbts177
Pages (from-to)1527-1529
Number of pages3
JournalBioinformatics
Volume28
Issue number11
DOIs
StatePublished - Jun 1 2012

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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    Pejaver, V. R., An, J., Rhee, S. M., Bhan, A., Choi, J. H., Liu, B., Lee, H., Brown, P. J., Kysela, D., Brun, Y. V., & Kim, S. (2012). Geneclusterviz: A tool for conserved gene cluster visualization, exploration and analysis. Bioinformatics, 28(11), 1527-1529. [bts177]. https://doi.org/10.1093/bioinformatics/bts177