Four student groups submit abstracts to ISMB
Halie Rando
April 09, 2026
Four student research teams submitted abstract to Intelligent Systems in Molecular Biology, one of the major computational biology conferences, which will be held in Washington D.C. in July.
Some of the projects include:
- Natural language processing approaches for identifying the methods used in a study based on its metadata (submitted to BOKR)
- Natural language processing approaches for comparing the similarity of experiments across species (submitted to BOKR)
- An open-source tool for extracting fluorescent peak information from fragment analysis files in the ABIF format (submitted to BOSC)
- An analysis of alternative clustering approaches to understanding molecular phenotypes of high-grade serous ovarian cancer (submitted to iRNA)
Notably, all of these submissions had at least one sophomore as a co-author! Fantastic work everyone!
