HMM-Fisher 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 Differentially methylated region detection chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

HMM-Fisher specifications


Unique identifier OMICS_16321
Name HMM-Fisher
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes



Add your version



  • person_outline Shuying Sun <>

Publication for HMM-Fisher

HMM-Fisher in publication

PMCID: 5617875
PMID: 28955039
DOI: 10.1038/s41598-017-12401-8

[…] bisulfite sequencing data. while some tools use simple heuristics to aggregate differentially methylated cpgs into dmrs (e.g. bs-seq, moabs, or methylsig). more recently, hmm based methods such as hmm-fisher have been introduced., another important variation on the theme are reference-based transcriptome assemblers such as cufflinks, truhmm, ora, or transcomb. these tools, however, […]

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

HMM-Fisher institution(s)
Department of Biostatistics, Yale University, New Haven, CT, USA; Department of Mathematics, Texas State University, San Marcos, TX, USA
HMM-Fisher funding source(s)
This work was supported by Dr. Shuying Sun’s start-up funds and the Research Enhancement Program provided by Texas State University.

HMM-Fisher reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review HMM-Fisher