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Citations per year

Number of citations per year for the bioinformatics software tool informME

Tool usage distribution map

This map represents all the scientific publications referring to informME per scientific context
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informME specifications


Unique identifier OMICS_27967
Name informME
Alternative name information-theoretic analysis of MEthylation
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++, MATLAB, R, Shell (Bash)
License GNU General Public License version 3.0
Computer skills Advanced
Version 0.3.0
Stability Stable
Maintained Yes




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  • person_outline John Goutsias

Publication for information-theoretic analysis of MEthylation

informME citation


An information theoretic approach to the modeling and analysis of whole genome bisulfite sequencing data

BMC Bioinformatics
PMCID: 5842653
PMID: 29514626
DOI: 10.1186/s12859-018-2086-5
call_split See protocol

[…] ulates the methylation state of all CpG sites in the genome and represents a fundamentally different modeling paradigm from traditional tools that focus on marginally modeling one CpG site at a time. InformME is based upon leveraging the higher-order statistical information contained in the Ising model to provide information-theoretic quantities and insights that are fundamentally unavailable to m […]

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informME institution(s)
Whitaker Biomedical Engineering Institute, Johns Hopkins University, Baltimore, MD, USA; Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
informME funding source(s)
Supported by NIH Grants CA054358, HG008529 and NSF Grant CCF-1656201.

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