This Health Research Program opportunity is with Dr. Dongyuan Song, Department of Genetics and Genome Sciences.
Project Description: This summer research project focuses on improving and evaluating spAlign, a computational method for aligning multi-slice spatial transcriptomics data. The student will work on comparing spAlign with existing alignment methods using both simulated and real biological datasets, and create a more user-friendly package with newly added functionalities. Through this project, the student will gain hands-on experience in spatial omics data analysis, algorithm benchmarking, and reproducible computational research. The work will contribute directly to improving how spatial transcriptomics data are integrated across tissue sections.
For full details about this Health Research Program opportunity, visit https://ugradresearch.uconn.edu/hrp/su26-35
For full details about the Health Research Program, visit ugradresearch.uconn.edu/hrp/
Submissions to this program are made via a third-party software application, SurveyMonkey Apply. The terms of use and privacy statements for this software apply to your use of it and to the information you provide in your application. Before proceeding with your submission, please review their terms and privacy statements linked below.
HRP SU26-35: Research Opportunity with Dr. Dongyuan Song
This Health Research Program opportunity is with Dr. Dongyuan Song, Department of Genetics and Genome Sciences.
Project Description: This summer research project focuses on improving and evaluating spAlign, a computational method for aligning multi-slice spatial transcriptomics data. The student will work on comparing spAlign with existing alignment methods using both simulated and real biological datasets, and create a more user-friendly package with newly added functionalities. Through this project, the student will gain hands-on experience in spatial omics data analysis, algorithm benchmarking, and reproducible computational research. The work will contribute directly to improving how spatial transcriptomics data are integrated across tissue sections.
For full details about this Health Research Program opportunity, visit https://ugradresearch.uconn.edu/hrp/su26-35
For full details about the Health Research Program, visit ugradresearch.uconn.edu/hrp/
Submissions to this program are made via a third-party software application, SurveyMonkey Apply. The terms of use and privacy statements for this software apply to your use of it and to the information you provide in your application. Before proceeding with your submission, please review their terms and privacy statements linked below.