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Discovery of Multiple Differentially Methylated Regions DiMmeR

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Guides scientists the whole way through EWAS data analysis. DiMmer offers parallelized statistical methods for identifying DMRs in both Illumina 450K and 850K EPIC chip data and also methylated regions in the human genome. DiMmeR can directly process Ilummina IDAT raw files. It performs background correction, normalization, blood cell composition estimation, single CpG analysis with multiple testing correction, and DMR search with statistical significance computation.

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DiMmeR classification

  • Animals
    • Homo sapiens

DiMmeR specifications

Software type:
Application/Script
Restrictions to use:
None
Biological technology:
Illumina
Programming languages:
Java
Stability:
Stable
Interface:
Graphical user interface
Input data:
DiMmeR reads 450K and 850K intensity data files (IDAT), and asks for a sample annotation file, which links to the IDAT files.
Operating system:
Unix/Linux, Mac OS
Computer skills:
Medium
Maintained:
Yes

DiMmeR distribution

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DiMmeR support

Maintainer

  • Diogo Almeida <>

Credits

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Publications

Institution(s)

Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark; Laboratory for Genomics and Bioinformatics, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil; Department of Information Engineering, University of Padova, Padova, Italy; Clinical Institute (CI), University of Southern Denmark, Odense, Denmark; Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark; Max Planck Institute for Informatics, Saarbruecken, Germany

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