New Results
Differential BUM-HMM: a robust statistical modelling approach for detecting RNA flexibility changes in high-throughput structure probing data
Paolo Marangio, Ka Ying Toby Law, View ORCID ProfileGuido Sanguinetti, View ORCID ProfileSander Granneman
doi: https://doi.org/10.1101/2020.07.30.229179
Paolo Marangio
1School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
3SISSA Data Science Excellence Department Initiative, Trieste, Italy
Ka Ying Toby Law
2Centre for Synthetic and Systems Biology, University of Edinburgh, Edinburgh, United Kingdom
Guido Sanguinetti
1School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
2Centre for Synthetic and Systems Biology, University of Edinburgh, Edinburgh, United Kingdom
3SISSA Data Science Excellence Department Initiative, Trieste, Italy
Sander Granneman
2Centre for Synthetic and Systems Biology, University of Edinburgh, Edinburgh, United Kingdom
Article usage
Posted July 30, 2020.
Differential BUM-HMM: a robust statistical modelling approach for detecting RNA flexibility changes in high-throughput structure probing data
Paolo Marangio, Ka Ying Toby Law, Guido Sanguinetti, Sander Granneman
bioRxiv 2020.07.30.229179; doi: https://doi.org/10.1101/2020.07.30.229179
Subject Area
Subject Areas
- Biochemistry (11739)
- Bioengineering (8750)
- Bioinformatics (29189)
- Biophysics (14967)
- Cancer Biology (12093)
- Cell Biology (17409)
- Clinical Trials (138)
- Developmental Biology (9419)
- Ecology (14178)
- Epidemiology (2067)
- Evolutionary Biology (18301)
- Genetics (12238)
- Genomics (16797)
- Immunology (11865)
- Microbiology (28068)
- Molecular Biology (11583)
- Neuroscience (60953)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4957)
- Plant Biology (10425)
- Synthetic Biology (2884)
- Systems Biology (7338)
- Zoology (1651)