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CoVaMa (Co-Variation Mapper) (python) 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. These tables are then analysed for evidence linkage disequilibrium. CoVaMa requires python version 2.7 and Numpy.
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