PhyloNet-HMM statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Phylogenetic network construction chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

PhyloNet-HMM specifications


Unique identifier OMICS_10317
Name PhyloNet-HMM
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Java
Computer skills Advanced
Version 0.1
Stability Stable
Maintained Yes


Add your version


  • person_outline Luay khleh <>

Publication for PhyloNet-HMM

PhyloNet-HMM in publication

PMCID: 5064893
PMID: 27737628
DOI: 10.1186/s12859-016-1277-1

[…] genetic quantities (e.g., the coalhmm method [] which utilizes a hidden markov model (hmm) to capture within-genome sequence dependence), and detecting genomic loci involved in gene flow (e.g., phylonet-hmm []). we note that these inference problems are contained within the general phylogenetic inference problem. since the primary focus of our study is the general phylogenetic network […]

To access a full list of publications, you will need to upgrade to our premium service.

PhyloNet-HMM institution(s)
Department of Computer Science, Rice University, Houston, TX, USA; Department of Ecology and Evolutionary Biology, Rice University, Houston, TX, USA

PhyloNet-HMM reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review PhyloNet-HMM