dms2dfe: Comprehensive Workflow for Analysis of Deep Mutational Scanning Data

Abstract

High throughput genotype to phenotype (G2P) data is increasingly being generated by widely applicable Deep Mutational Scanning (DMS) method. dms2dfe is a comprehensive end-to-end workflow that addresses critical issue with noise reduction and offers variety of crucial downstream analyses. Noise reduction is carried out by normalizing counts of mutants by depth of sequencing and subsequent dispersion shrinkage at the level of calculation of preferential enrichments. In downstream analyses, dms2dfe workflow provides identification of relative selection pressures, potential molecular constraints and generation of data-rich visualizations.\n\nAvailabilitydms2dfe is implemented as a python package and it is available at https://kc-lab.github.io/dms2dfe.\n\nContactkausik@igib.in, rohan@igib.in\n\nSupplementary informationSupplementary data are available at Bioinformatics online.