CoEv statistics

info info

Citations per year


Tool usage distribution map

info info

Associated diseases


Popular tool citations

chevron_left Co-evolving residue prediction chevron_right
Want to access the full stats & trends on this tool?

CoEv specifications


Unique identifier OMICS_13063
Name CoEv
Software type Package/Module
Interface Command line interface, Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Mac OS
Programming languages Python
Computer skills Advanced
Version 1.1.2
Stability Stable
Linear Algebra
Source code URL
Maintained No


No version available


This tool is not available anymore.

Publication for CoEv

CoEv citations


Selection on the Major Color Gene Melanocortin 1 Receptor Shaped the Evolution of the Melanocortin System Genes

Int J Mol Sci
PMCID: 5751221
PMID: 29206201
DOI: 10.3390/ijms18122618
call_split See protocol

[…] We used the maximum likelihood implementation of the model Coev [] to estimate the nucleotide positions that were coevolving between pairs of genes. The analyses were based on the concatenated gene sequences and the species phylogenetic tree (). We measured t […]


Coev web: a web platform designed to simulate and evaluate coevolving positions along a phylogenetic tree

BMC Bioinformatics
PMCID: 4657261
PMID: 26597459
DOI: 10.1186/s12859-015-0785-8

[…] ico nucleotide or amino acid data typically use Markov models to simulate each position independently, which is not appropriate in the case of coevolution [–].We previously developed the Markov model Coev that evaluates the score of coevolution of nucleotide positions using either Maximum Likelihood (ML) or Bayesian inference based on a substitution matrix of size 16×16 []. The model describes the […]

Want to access the full list of citations?
CoEv institution(s)
Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland; Department of Plant and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
CoEv funding source(s)
This work was funded by the University of Lausanne, the Swiss National Science Foundation (grant 31003A-138282) and the Wenner-Gren Foundation.

CoEv reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review CoEv