informME statistics

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Citations per year

Number of citations per year for the bioinformatics software tool informME
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Tool usage distribution map

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

Information


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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Maintainer


  • person_outline John Goutsias

Publication for information-theoretic analysis of MEthylation

informME citation

call_split

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

2018
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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