The identification of allele-specific events from allelic read counts is non-trivial due to multiple sources of technical and biological variability, which induce data-dependent biases and overdispersion. We designed MIXALIME, a computational framework for calling allele-specific events in diverse omics data with a repertoire of statistical models accounting for read mapping bias and copy-number variation, read more.
