Confirmatory Results
SEMplMe: A tool for integrating DNA methylation effects in transcription factor binding affinity predictions
View ORCID ProfileSierra S. Nishizaki, View ORCID ProfileAlan P. Boyle
doi: https://doi.org/10.1101/2020.08.13.250118
Sierra S. Nishizaki
1Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA 48109
2Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA 48109
Alan P. Boyle
1Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA 48109
2Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA 48109

Article usage
Posted February 22, 2021.
SEMplMe: A tool for integrating DNA methylation effects in transcription factor binding affinity predictions
Sierra S. Nishizaki, Alan P. Boyle
bioRxiv 2020.08.13.250118; doi: https://doi.org/10.1101/2020.08.13.250118
Subject Area
Subject Areas
- Biochemistry (5220)
- Bioengineering (3643)
- Bioinformatics (15706)
- Biophysics (7210)
- Cancer Biology (5590)
- Cell Biology (8039)
- Clinical Trials (138)
- Developmental Biology (4731)
- Ecology (7458)
- Epidemiology (2059)
- Evolutionary Biology (10518)
- Genetics (7695)
- Genomics (10079)
- Immunology (5144)
- Microbiology (13819)
- Molecular Biology (5350)
- Neuroscience (30570)
- Paleontology (211)
- Pathology (870)
- Pharmacology and Toxicology (1519)
- Physiology (2233)
- Plant Biology (4980)
- Synthetic Biology (1379)
- Systems Biology (4129)
- Zoology (802)