PhD, University of Cincinnati, 2023, Medicine: Biomedical Informatics
Single-cell sequencing technologies have significantly advanced our understanding of complex biological systems. Researchers and initiatives like the Human Cell Atlas (HCA) and the Brain Research through Advancing Innovative Neurotechnologies Initiative (BICCN) have successfully created Cell Atlases for different tissues and developmental stages. The growing volume of single-cell data has created a demand for tools that offer comprehensive capabilities, encompassing gene signature visualization, exploration, and harmonization.
The widespread adoption of single-cell technologies and the decreasing cost of single-cell experiments have led researchers to utilize these techniques in studies involving perturbations, including diseases, treatments, genetic mutations, time-series analyses, and more. This application has accelerated the exploration of transcriptional profiles across different perturbation states, enabling comparisons with control conditions.
However, the analysis of single-cell data presents several emerging computational challenges that need to be addressed. Firstly, there is a need for a deeper understanding of diverse biological covariates and technical effects that may impact the data. Secondly, it is crucial to develop user-friendly visualization and interaction methods capable of handling large-scale datasets, particularly at the atlas-level. Lastly, there is a pressing need to comprehend the effects of perturbations across multiple dimensions, with a particular emphasis on temporal dynamics. These computational hurdles demand innovative solutions to effectively tackle the complexities associated with single-cell data analysis.
To address these challenges, we have developed two tools, namely ToppCell and CellDrift, that facilitate comprehensive exploration of large-scale single-cell data and enhance our understanding of temporal perturbation effects. To demonstrate the capabilities of our tools, we utilized the context of COVID-19 and uncove (open full item for complete abstract)
Committee: Bruce Aronow Ph.D. (Committee Chair); Nathan Salomonis Ph.D. (Committee Chair); Rhonda Szczesniak Ph.D. (Committee Member); Surya Prasath Ph.D. (Committee Member); ChangHui Pak PhD (Committee Member)
Subjects: Bioinformatics