Prediction of Protein Dispensability through Integrated Analysis of MultipleSource HighTh.pdf

Prediction of Protein Dispensability through Integrated Analysis of Multiple- Source High-Throughput Data Yu Chen1,2 and Dong Xu1,2 * 1 U T- ORNL Graduate School of Genome Science and Technology, Oak Ridge, TN, USA. 2 Digital Biology Laboratory, Computer Science Department, University of Missouri-Columbia, Columbia, MO, USA. * Correspondence author: xudong@ Abstract genes have different effects on the evolution and Protein dispensability is fundamental to understanding of population (growth) of the organism carrier. A deletion of a gene function and evolution. It is usually studied at the nonessential gene might give the carrier a selective individual gene p henotype level. Recent advances in disadvantage and this carrier is likely to be removed from generating high -throughput data such as genomic the population over time. Such selection is called purifying sequence data, protein-protein interaction data, 2 selection . Given the role of purifying selection in gene-expression data, and growth -rate data of mutants determining evolution, nonessential genes that are subject allow us to