informME statistics

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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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  • person_outline John Goutsias <>

Publication for information-theoretic analysis of MEthylation

informME in publications

 (2)
PMCID: 5842653
PMID: 29514626
DOI: 10.1186/s12859-018-2086-5

[…] status of the epigenome within different genomic features and at multiple scales, extracted from wgbs data in inter-sample or differential studies., we refer to the proposed methodology as informme (information-theoretic analysis of methylation), which we have implemented using matlab, c++, and r in a fully documented and publicly available software package that can be downloaded […]

PMCID: 5565269
PMID: 28346445
DOI: 10.1038/ng.3811

[…] files of relevant features: gse86340. url at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=gse86340, software availability. source code is available at https://github.com/garrettjenkinson/informme/., note: is available on the nature genetics website., author contributions, a.p.f., e.p., g.j., and j.g. designed the study. g.j. and j.g. developed the mathematical and computational […]


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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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