Developing next-generation methods for scoring CRISPR screening data

Thumbnail Image

Persistent link to this item

View Statistics

Journal Title

Journal ISSN

Volume Title


Developing next-generation methods for scoring CRISPR screening data

Published Date




Thesis or Dissertation


Mapping the genotype-to-phenotype connection is a central goal of modern biology. CRISPR screening technology powers mapping efforts by identifying relationships between gene knockouts and conditions of interest, such as another gene knockout or the presence of a drug. Quantitative readouts from CRISPR screening experiments, however, are confounded by several different types of biases which impact the efficacy of genotype-to-phenotype mapping efforts. My contributions to the scientific community consist of several computational tools which address bias in CRISPR screening experiments. The first, Orthrus, addresses biases specific to combinatorial screening experiments which knock out multiple genes simultaneously. The second, Orobas, presents an improved scoring method for chemogenomic screening experiments and substantially reduces false positives compared to the existing state-of-the-art method. Lastly, I detail a novel technique called onion normalization for reducing technical bias in large-scale CRISPR screening experiments. Overall, these contributions serve as a methodological bedrock for the construction of improved genotype-to-phenotype maps from CRISPR screening data.


University of Minnesota Ph.D. dissertation. April 2022. Major: Biomedical Informatics and Computational Biology. Advisor: Chad Myers. 1 computer file (PDF); xi, 162 pages pages.

Related to




Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Ward, Henry. (2022). Developing next-generation methods for scoring CRISPR screening data. Retrieved from the University Digital Conservancy,

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.