Addressing the digital divide in contemporary biology: Lessons from teaching UNIX
Abstract
Researchers in the biomedical sciences increasingly rely on applications that lack a graphical interface and require inputting code that, such as UNIX. Scientists who are not trained in computer science face an enormous challenge in analyzing the high-throughput data their research groups generate. We present a training model for use of command-line tools when the learner has little to no prior knowledge of UNIX.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Community-driven data analysis training for biology
Bérénice Batut, Saskia Hiltemann, … Björn Andreas Grüning·Cell SystemsPeer-reviewed·Jun 1, 2018
- Barriers to Integration of Bioinformatics into Undergraduate Life Sciences Education
Jason J. Williams, Jennifer C. Drew, … Mark A. Pauley·bioRxiv·Oct 19, 2017
- An integrated, modular approach to data science education in the life sciences
K. A. Dill-McFarland, S. G. Koenig, … S. J. Hallam·bioRxiv·Jul 25, 2020
- Unmet Needs for Analyzing Biological Big Data: A Survey of 704 NSF Principal Investigators
L. Barone, J. Williams, D. Micklos·bioRxiv·Feb 15, 2017
- Training Data: How can we best prepare instructors to teach data science in undergraduate biology and environmental science courses?
N. C. Emery, E. Crispo, … M. Aeillo-Lammens·bioRxiv·Jan 25, 2021
- A global perspective on bioinformatics training needs
M. D. Brazas, C. Brooksbank, … T. K. Attwood·bioRxiv·Feb 27, 2017