"Genomics and computational biology are now at the center of biomedical research. These disciplines take a holistic approach to ask about the origins, functions, and interactions of whole systems, using both experimental and theoretical work. Therefore, these studies require knowledge, skills, and, most importantly, synthesis and integration of biology, computer science, mathematics, statistics, and engineering.
This synthesis and integration requires a new generation of scientists that thrives in cross-disciplinary research. This can include molecular, cellular, and organismal biology (including genetics), mathematics, statistics, chemistry, and engineering. The goal of the GCB program is to train students that are experts in one or more of these disciplines and well versed in the others. "
GCB Website: https://www.med.upenn.edu/gcb/about/
We will explore the fundamentals of the biology field from a computational perspective and provide a solid foundation for data generation and technology for analysis.
Programming is a fundamental skill in computational biology, and we will be using a powerful scripting language to unlock vast potential for the analysis of biological data.
Probability and Statistics are core concepts that are crucial to ensuring sound, reproducible analysis of large-scale biological data. This program covers the fundamentals necessary to get started in the field.
Along with an academic curriculum, SCBP aims to orient all participants for success beyond the program. This summer, we will focus sessions on preparing for graduate study in the field of computational biology with particular emphasis on preparing an undergraduate experience and application package for a future doctoral program. Topics will include choosing relevant undergraduate courses, writing personal statements, searching for and choosing schools, as well as navigating the interview season.
Journal Club is an essential pillar of academia and is an opportunity to critically evaluate literature at the cutting edge of a field. Our journal club will feature beginner-friendly opportunities to practice dissecting scientific literature and communicate it to other scientists with participant-led sessions that will review key computational biology papers.