dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
Coverage decreased (-0.8%) to 85.665% when pulling 2c32d3e608190144bc7a34eb447f192747046ef2 on initialHap into 30b4959902f3b0628638271fd9af037d3a0aeccb on inbreeding.
Coverage decreased (-0.8%) to 85.665% when pulling 2c32d3e608190144bc7a34eb447f192747046ef2 on initialHap into 30b4959902f3b0628638271fd9af037d3a0aeccb on inbreeding.
Coverage increased (+5.07%) to 91.568% when pulling 6e832fb96b150d526cbc836f6381ed137215834f on initialHap into 30b4959902f3b0628638271fd9af037d3a0aeccb on inbreeding.
Coverage increased (+5.07%) to 91.568% when pulling 6e832fb96b150d526cbc836f6381ed137215834f on initialHap into 30b4959902f3b0628638271fd9af037d3a0aeccb on inbreeding.
Coverage decreased (-0.8%) to 85.665% when pulling 2c32d3e608190144bc7a34eb447f192747046ef2 on initialHap into 30b4959902f3b0628638271fd9af037d3a0aeccb on inbreeding.