CoVaMa 0.7 – Co-Variation Mapper for Disequilibrium Analysis of Mutant Loci

CoVaMa 0.7

:: DESCRIPTION

CoVaMa detects correlated patterns of mutations in a viral quasi-species. CoVaMa takes NGS alignment data (SAM) and populates large matrices of contingency tables that correspond to every possible pairwise interaction of nucleotides or amino acids in the viral genome.

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::DEVELOPER

CoVaMa team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux
  • Python

:: DOWNLOAD

 CoVaMa

:: MORE INFORMATION

Citation

CoVaMa: Co-Variation Mapper for disequilibrium analysis of mutant loci in viral populations using next-generation sequence data.
Routh A, Chang MW, Okulicz JF, Johnson JE, Torbett BE.
Methods. 2015 Sep 22. pii: S1046-2023(15)30105-5. doi: 10.1016/j.ymeth.2015.09.021.