Document Type
Article
Publication Date
2-2017
Originally Published In
Elgin SCR, Hauser C, Holzen TM, et al. The GEP: Crowd-Sourcing Big Data Analysis with Undergraduates. Trends Genet. 2017;33(2):81–85. doi:10.1016/j.tig.2016.11.004
Abstract
The era of 'big data' is also the era of abundant data, creating new opportunities for student-scientist research partnerships. By coordinating undergraduate efforts, the Genomics Education Partnership produces high-quality annotated data sets and analyses that could not be generated otherwise, leading to scientific publications while providing many students with research experience. Keywords: CURE (course-based undergraduate research experience); bioinformatics; crowd-sourcing science; science education; undergraduate research.
ORCID
https://orcid.org/0000-0002-5176-2510 [Elgin]
Recommended Citation
Elgin, Sarah C.R.; Hauser, Charles; Holzen, Teresa; Jones, Christopher; Kleinschmit, Adam; and Leatherman, Judith, "The GEP: Crowd-Sourcing Big Data Analysis with Undergraduates" (2017). Biology Faculty Publications & Presentations. 231.
https://openscholarship.wustl.edu/bio_facpubs/231