metilene3: identifying DMRs across multiple conditions with auto-classification.
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| Title: | metilene3: identifying DMRs across multiple conditions with auto-classification. |
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| Authors: | Zhu Z; Max Planck Institute for Molecular Genetics, Berlin, Germany.; Department of Mathematics and Computer Science, Free University Berlin, Berlin, Germany., Bernhart SH; LeiCeM - Leipzig Center of Metabolism, Leipzig University, Leipzig, Germany., Jühling F; University of Strasbourg, Inserm, Institute for Translational Medicine and Liver Disease (ITM), UMR_S1110, Strasbourg, France., Kretzmer H; Max Planck Institute for Molecular Genetics, Berlin, Germany. helene.kretzmer@hpi.de.; Hasso Plattner Institute for Digital Engineering, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany. helene.kretzmer@hpi.de., Hoffmann S; Department of Mathematics and Computer Science, Free University Berlin, Berlin, Germany. steve.hoffmann@leibniz-fli.de.; Hoffmann Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Jena, Germany. steve.hoffmann@leibniz-fli.de. |
| Source: | Nature communications [Nat Commun] 2026 Jul 04; Vol. 17 (1). Date of Electronic Publication: 2026 Jul 04. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-026-74931-y |
