Nine quick tips for efficient bioinformatics curriculum development and training

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...

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Detalles Bibliográficos
Autores principales: McClatchy, Susan, Bass, Kristin M., Gatti, Daniel M., Moylan, Adam, Churchill, Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Education
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377369/
https://www.ncbi.nlm.nih.gov/pubmed/32702019
http://dx.doi.org/10.1371/journal.pcbi.1008007
Descripción
Sumario: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.

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