A systems biology analysis for the whole genome sequencing data

Abstract

The next generation sequencing technology has enabled the understanding of the whole genome of an organism at a greater coverage and reduced cost. In this study, we provide a systems biology approach to understand the functional relevance of the single nucleotide variants identified by the whole genome sequencing studies. This approach also includes a methodology for the identification of conserved modules among the family members. Our study contributes towards the much needed downstream functional analysis of the variant data, especially for the low frequency and novel variants, and provides a framework for the analysis of multiple genomes to derive relations between variants and diseases.