Back to Search
Start Over
metilene: fast and sensitive calling of differentially methylated regions from bisulfite sequencing data
- Source :
- Europe PubMed Central, Genome Research, Genome Research, 2016, 26 (2), pp.256-262. ⟨10.1101/gr.196394.115⟩
- Publication Year :
- 2016
-
Abstract
- The detection of differentially methylated regions (DMRs) is a necessary prerequisite for characterizing different epigenetic states. We present a novel program, metilene, to identify DMRs within whole-genome and targeted data with unrivaled specificity and sensitivity. A binary segmentation algorithm combined with a two-dimensional statistical test allows the detection of DMRs in large methylation experiments with multiple groups of samples in minutes rather than days using off-the-shelf hardware. metilene outperforms other state-of-the-art tools for low coverage data and can estimate missing data. Hence, metilene is a versatile tool to study the effect of epigenetic modifications in differentiation/development, tumorigenesis, and systems biology on a global, genome-wide level. Whether in the framework of international consortia with dozens of samples per group, or even without biological replicates, it produces highly significant and reliable results. journal article research support, non-u.s. gov't 2016 Feb 2015 12 02 imported
- Subjects :
- 0301 basic medicine
Sequence analysis
Systems biology
Bisulfite sequencing
Method
Computational biology
Biology
Sciences du Vivant [q-bio]/Médecine humaine et pathologie
03 medical and health sciences
[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN]
Genetics
Humans
genetics
Epigenetics
Cerebellar Neoplasms
Genetics (clinical)
[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]
Sequence Analysis, DNA
DNA Methylation
Missing data
[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]
030104 developmental biology
Differentially methylated regions
CpG site
Case-Control Studies
DNA methylation
[SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN]
CpG Islands
Algorithms
Software
Medulloblastoma
Subjects
Details
- Language :
- English
- ISSN :
- 10889051 and 15495469
- Database :
- OpenAIRE
- Journal :
- Europe PubMed Central, Genome Research, Genome Research, 2016, 26 (2), pp.256-262. ⟨10.1101/gr.196394.115⟩
- Accession number :
- edsair.doi.dedup.....a0b1d93d086fefea8cd60d26cd4aa5f0