Probabilistic Analysis of High Throughput Sequencing Data

We are developing methods and writing software for the analysis of Next-Generation Sequencing (NGS) data for population genetic purposes. Our approach is based on a probabilistic framework (Fumagalli et al. Bioinformatics 2014) for accurate estimation of genetic diversity parameters from low-depth NGS data (Vieira et al. Biol J Linn Soc Lond. 2015).