Journal article
Authors list: Kuenne, C. T.; Ghai, R.; Chakraborty, T.; Hain, T.
Publication year: 2007
Pages: 125-126
Journal: Bioinformatics
Volume number: 23
Issue number: 1
ISSN: 1367-4803
Open access status: Green
DOI Link: https://doi.org/10.1093/bioinformatics/btl556
Publisher: Oxford University Press
Abstract:
In order to understand and interpret phylogenetic and functional relationships between multiple prokaryotic species, qualitative and quantitative data must be correlated and displayed. GECO allows linear visualization of multiple genomes using a client/server based approach by dynamically creating .png- or .pdf-formatted images. It is able to display ortholog relations calculated using BLASTCLUST by color coding ortholog representations. Irregularities on the genomic level can be identified by anomalous G/C composition. Thus, this software will enable researchers to detect horizontally transferred genes, pseudogenes and insertions/deletions in related microbial genomes.
Citation Styles
Harvard Citation style: Kuenne, C., Ghai, R., Chakraborty, T. and Hain, T. (2007) GECO-linear visualization for comparative genomics, Bioinformatics, 23(1), pp. 125-126. https://doi.org/10.1093/bioinformatics/btl556
APA Citation style: Kuenne, C., Ghai, R., Chakraborty, T., & Hain, T. (2007). GECO-linear visualization for comparative genomics. Bioinformatics. 23(1), 125-126. https://doi.org/10.1093/bioinformatics/btl556
