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bioRxiv · 10.1101/2025.01.05.631403

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

Zak, J.·Newman, I.·Montiel Garcia, D. J.·Parisi, D.·Joy, J.·Head, S. R.·Ducom, J.-C.·Natarajan, P.·Cui, H.·Ul-Hasan, S.
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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 an increasingly diverse set of experiments: the share of experiments other than bulk RNA- or DNA-seq 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 over 300 academic biomedical researchers interested in computational biology referred to as the Computational Biology and Bioinformatics (CBB) affinity group. This adaptive group has provided continuing education and networking opportunities through seminars, workshops and coding sessions while evolving along with the needs of its members. A survey of CBBs impact confirmed the groups events increased the members exposure to computational biology educational and research events (79% respondents) and networking opportunities (61% respondents). Thus, volunteer-led affinity groups may be a viable complement to traditional institutional resources for enhancing the application of computing in biomedical research.

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Zak, J., Newman, I., Montiel Garcia, D. J., Parisi, D., Joy, J., Head, S. R., Ducom, J.-C., Natarajan, P., Cui, H., Ul-Hasan, S.. 2025-01-06. Catalyzing computational biology research at an academic institute through an interest network. https://doi.org/10.1101/2025.01.05.631403

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