Teaching computational genomics and bioinformatics on a high performance computing cluster-a primer.

ABSTRACT: The burgeoning field of genomics as applied to personalized medicine, epidemiology, conservation, agriculture, forensics, drug development, and other fields comes with large computational and bioinformatics costs, which are often inaccessible to student trainees in classroom settings at universities. However, with increased availability of resources such as NSF XSEDE, Google Cloud, Amazon AWS, and other high-performance computing (HPC) clouds and clusters for educational purposes, a growing community of academicians are working on teaching the utility of HPC resources in genomics and big data analyses. Here, I describe the successful implementation of a semester-long (16 week) upper division undergraduate/graduate level course in Computational Genomics and Bioinformatics taught at San Dieg

SUBMITTER: Sethuraman A 

PROVIDER: S-EPMC9767868 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature