Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

PLoS genetics - 1 Feb 2017

Skwark Marcin J, Croucher Nicholas J, Puranen Santeri, Chewapreecha Claire, Pesonen Maiju, Xu Ying Ying, Turner Paul, Harris Simon R, Beres Stephen B, Musser James M, Parkhill Julian, Bentley Stephen D, Aurell Erik, Corander Jukka

Abstract excerpt

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 advances in computational structural biology to identify the polymorphic loci under the strongest co-evolutionary pressures. We apply...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aminoacyltransferases
Share to beta-Lactam Resistance

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to beta-Lactams

Share to Gene Regulatory Networks

Share to Penicillin-Binding Proteins

Share to Peptidyl Transferases

Share to Streptococcus pneumoniae

Share to Streptococcus pyogenes

Source

Open in PubMed Open full text

Identifiers

PMID: 28207813
DOI: 10.1371/journal.pgen.1006508
PMCID: PMC5312804

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis.PMID 28207813Read ↗

Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysisSemantic proximity Read ↗

SuperDCA for genome-wide epistasis analysisSemantic proximity Read ↗

Genome-wide epistasis and co-selection study using mutual informationSemantic proximity Read ↗

PAN-GWES: Pangenome-spanning epistasis and co-selection analysis via de Bruijn graphsSemantic proximity Read ↗

SuperDCA for genome-wide epistasis analysis.Semantic proximity Read ↗

Detecting co-selection through excess linkage disequilibrium in bacterial genomesSemantic proximity Read ↗

A comprehensive analysis of pneumococcal two-component system regulatory networksSemantic proximity Read ↗

Benchmarking bacterial genome-wide association study methods using simulated genomes and phenotypes.Semantic proximity Read ↗

Epistasis and co-adaptation in bacterial genome evolution.Semantic proximity Read ↗

Benchmarking bacterial genome-wide association study (GWAS) methods using simulated genomes and phenotypesSemantic proximity Read ↗

Co-evolutionary signals from <i>Burkholderia pseudomallei</i> genomics identify its survival strategies and highlight improving environmental health as prevention policySemantic proximity Read ↗

Inferring multilayer interactome networks shaping phenotypic plasticity and evolution.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.