Quick Start
EvolClustDB is a public and browsable database of evolutionarily conserved gene clusters pre-computed
with the EvolClust algorithm.This algorithm identifies groups
of neighboring genes whose proximity is significantly conserved across evolution compared to the genome average.
This prediction is performed pairwise in and all against all comparisons of genomes of interest, and then clusters are
grouped into multi-species families. Visualization allows inspecting gene order per species in a phylogenetic context,
enabling inference of potential evolutionary events. EvolclustDB provides gene cluster visualization through PhyD3
FAQS
CITATION
Evolclust: automated inference of evolutionary conserved gene clusters in eukaryotesMarina Marcet-Houben, Toni Gabaldón
Bioinformatics Feb 15;36(4):1265-1266. doi: 10.1093/bioinformatics/btz706.
We define a cluster as a group of homologous proteins that are found grouped together in at least two different
genomes and which are more conserved than what is expected for the pair of genomes.
EvolClust predicts conserved gene clusters from pairwise genome comparisons and infers families of related clusters from multiple (all versus all) genome comparisons.
You can check the paper describing the algorithm in the following publication.
Marina Marcet-Houben, Toni Gabaldón, EvolClust: automated inference of evolutionary conserved gene clusters in eukaryotes, Bioinformatics, Volume 36, Issue 4, 15 February 2020, Pages 1265–1266, https://doi.org/10.1093/bioinformatics/btz706
Furthermore, you can see a summary of the algorithm in here:
Github
Marina Marcet-Houben, Toni Gabaldón, EvolClust: automated inference of evolutionary conserved gene clusters in eukaryotes, Bioinformatics, Volume 36, Issue 4, 15 February 2020, Pages 1265–1266, https://doi.org/10.1093/bioinformatics/btz706
Furthermore, you can see a summary of the algorithm in here:
Github