Coinfinder

Coinfinder identifies significant associations and dissociations among homologous gene families within pangenomes to detect coincident gene pairs that co-occur more frequently than expected and to characterize accessory gene evolutionary dynamics in prokaryotic and eukaryotic organisms.


Key Features:

  • Detection of Coincidence: Assesses whether homologous gene families associate or dissociate more often than expected by chance across genomes in a pangenome.
  • Phylogenetic Contextualization: Uses a user-supplied phylogenetic tree to evaluate lineage-dependence and ensure identified coincident gene pairs are not explained solely by shared clade membership.
  • Multi-language Implementation: Implemented in C++, Python3, and R.
  • Output Formats: Generates outputs in text, gexf (Graph Exchange XML Format), and PDF formats.

Scientific Applications:

  • Horizontal Gene Transfer: Identifies gene co-occurrence patterns consistent with horizontal gene transfer events.
  • Differential Gene Loss: Infers patterns of differential gene loss by detecting non-random dissociations of gene families.
  • Selection and Drift on Pangenomes: Examines effects of selection and drift on accessory gene distributions across lineages.
  • Functional Relationship Discovery: Suggests functional linkages and evolutionary pressures shaping microbial genomes by identifying genes that co-occur more frequently than expected.

Methodology:

Evaluates co-occurrence of homologous gene families using a phylogenetic framework with a user-supplied tree to assess lineage-dependence and identify associations and dissociations beyond clade presence.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Programming Languages:
R, C++, Python
Added:
1/14/2020
Last Updated:
12/16/2020

Operations

Publications

Whelan FJ, Rusilowicz M, McInerney JO. Coinfinder: Detecting Significant Associations and Dissociations in Pangenomes. Unknown Journal. 2019. doi:10.1101/859371.

Whelan FJ, Rusilowicz M, McInerney JO. Coinfinder: detecting significant associations and dissociations in pangenomes. Microbial Genomics. 2020;6(3). doi:10.1099/mgen.0.000338. PMID:32100706. PMCID:PMC7200068.

PMID: 32100706
PMCID: PMC7200068
Funding: - Biotechnology and Biological Sciences Research Council: BB/N018044/2 - H2020 Marie Skłodowska-Curie Actions: 793818

Links