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Dataset Information

Catalyzing computational biology research at an academic institute through an interest network.


ABSTRACT: Biology has been transformed by the rapid development of computing and the concurrent rise of data-rich approaches such as, omics or high-resolution imaging. However, there is a persistent computational skills gap in the biomedical research workforce. Inherent limitations of classroom teaching and institutional core support highlight the need for accessible ways for researchers to explore developments in computational biology. An analysis of the Scripps Research Genomics Core revealed increases in the total number and diversity of experiments: the share of experiments other than bulk RNA- or DNA-sequencing increased from 34% to 60% within 10 years, requiring more tailored computational analyses. These challenges were tackled by forming a volunteer-led affinity group of approximately 300 ac

SUBMITTER: Zak J 

PROVIDER: S-EPMC12422415 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature