Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis

• Main Authors: Marcin J. Skwark, Nicholas J. Croucher, Santeri Puranen, Claire Chewapreecha, Maiju Pesonen, Ying Ying Xu, Paul Turner, Simon R. Harris, Stephen B. Beres, James M. Musser, Julian Parkhill, Stephen D. Bentley, Erik Aurell, Jukka Corander
• Other Authors: Vanderbilt University
• Format: Article
• Published: 2018
• Subjects: Agricultural and Biological Sciences; Biochemistry, Genetics and Molecular Biology
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/41534
• Institution: Mahidol University

© 2017 Skwark et al. Recent advances in the scale and diversity of population genomic datasets for bacteria now provide the potential for genome-wide patterns of co-evolution to be studied at the resolution of individual bases. Here we describe a new statistical method, genomeDCA, which uses recent...