New Results
MethylStar: A fast and robust pipeline for high-throughput analysis of bulk or single-cell WGBS data
View ORCID ProfileYadollah Shahryary, Rashmi R. Hazarika, Frank Johannes
doi: https://doi.org/10.1101/2019.12.20.884536
Yadollah Shahryary
1Technical University of Munich, Department of Plant Sciences, Liesel-Beckmann-Str. 2, 85354 Freising, Germany
Rashmi R. Hazarika
2Technical University of Munich, Institute for Advanced Study (IAS), Lichtenbergstr. 2a, 85748 Garching, Germany
Frank Johannes
1Technical University of Munich, Department of Plant Sciences, Liesel-Beckmann-Str. 2, 85354 Freising, Germany
2Technical University of Munich, Institute for Advanced Study (IAS), Lichtenbergstr. 2a, 85748 Garching, Germany
Article usage
Posted December 21, 2019.
MethylStar: A fast and robust pipeline for high-throughput analysis of bulk or single-cell WGBS data
Yadollah Shahryary, Rashmi R. Hazarika, Frank Johannes
bioRxiv 2019.12.20.884536; doi: https://doi.org/10.1101/2019.12.20.884536
Subject Area
Subject Areas
- Biochemistry (11700)
- Bioengineering (8715)
- Bioinformatics (29120)
- Biophysics (14927)
- Cancer Biology (12047)
- Cell Biology (17347)
- Clinical Trials (138)
- Developmental Biology (9405)
- Ecology (14140)
- Epidemiology (2067)
- Evolutionary Biology (18262)
- Genetics (12216)
- Genomics (16761)
- Immunology (11840)
- Microbiology (27999)
- Molecular Biology (11549)
- Neuroscience (60784)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3228)
- Physiology (4937)
- Plant Biology (10382)
- Synthetic Biology (2876)
- Systems Biology (7332)
- Zoology (1642)