Thesis icon

Thesis

Extracting biological insights from genomics data using machine learning approaches

Abstract:

ATAC-seq, ChIP-seq, and DNase-seq have revolutionised molecular biology by allowing researchers to identify important DNA-encoded elements genome-wide. Regions where these elements are found appear as peaks in the analogue signal of an assay’s coverage track, and despite the ease with which humans can visu- ally categorize these regions, meaningful peak calls from whole genome datasets require complex analytical techniques. Current methods focus on statistical tests to classify peaks, reducin...

Expand abstract

Actions


Access Document


Files:

Authors


More by this author
Division:
MSD
Department:
RDM
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MSD
Role:
Supervisor
ORCID:
0000-0002-8955-7256
Institution:
University of Oxford
Division:
MSD
Role:
Supervisor
ORCID:
0000-0002-3559-4334
More from this funder
Programme:
Bartlett Scholar
Funding agency for:
Hentges, LD
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
Deposit date:
2022-06-22

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP