Nine quick tips for efficient bioinformatics curriculum development and training

PLoS Comput Biol. 2020 Jul 23;16(7):e1008007. doi: 10.1371/journal.pcbi.1008007. eCollection 2020 Jul.

Abstract

Biomedical research is becoming increasingly data driven. New technologies that generate large-scale, complex data are continually emerging and evolving. As a result, there is a concurrent need for training researchers to use and understand new computational tools. Here we describe an efficient and effective approach to developing curriculum materials that can be deployed in a research environment to meet this need.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Biomedical Research / education
  • Computational Biology / education*
  • Computer Graphics
  • Curriculum*
  • Feedback
  • Internet
  • Learning
  • Program Development
  • Reproducibility of Results
  • Software