PLoS ONEBioinformaticsPeer-reviewed journal article
Bioinformatics Core Competencies for Undergraduate Life Sciences Education
Melissa A. Wilson Sayres, Charles R. HauseriD, Michael L. SierkiD, Srebrenka RobiciD, Anne RosenwaldiD, Todd M. Smith, Eric W. TriplettiD, Jason WilliamsiD, Elizabeth Ann DinsdaleiD, William Roy MorganiD, James M. BurnetteiD, Sam S DonovaniD, Jennifer C. DrewiD, Sarah C. R. ElginiD, Edison R. FowlksiD, Sebastian GalindoiD, Anya L. GoodmaniD, Neal F. GrandgenettiD, Carlos GolleriD, John R. JungckiD, Jeffrey D. NewmaniD, William R. PearsoniD, Elizabeth F. RyderiD, Rafael Tosado-AcevedoiD, William E. TapprichiD, , Mark PauleyiD
Abstract
Bioinformatics is becoming increasingly central to research in the life sciences. However, despite its importance, bioinformatics skills and knowledge are not well integrated in undergraduate biology education. This curricular gap prevents biology students from harnessing the full potential of their education, limiting their career opportunities and slowing genomic research innovation. To advance the integration of bioinformatics into life sciences education, a framework of core bioinformatics competencies is needed. To that end, we here report the results of a survey of life sciences faculty in the United States about teaching bioinformatics to undergraduate life scientists. Responses were received from 1,260 faculty representing institutions in all fifty states with a combined capacity to educate hundreds of thousands of students every year. Results indicate strong, widespread agreement that bioinformatics knowledge and skills are critical for undergraduate life scientists, as well as considerable agreement about which skills are necessary. Perceptions of the importance of some skills varied with the respondents degree of training, time since degree earned, and/or the Carnegie classification of the respondents institution. To assess which skills are currently being taught, we analyzed syllabi of courses with bioinformatics content submitted by survey respondents. Finally, we used the survey results, the analysis of syllabi, and our collective research and teaching expertise to develop a set of bioinformatics core competencies for undergraduate life sciences students. These core competencies are intended to serve as a guide for institutions as they work to integrate bioinformatics into their life sciences curricula.\n\nSignificance StatementBioinformatics, an interdisciplinary field that uses techniques from computer science and mathematics to store, manage, and analyze biological data, is becoming increasingly central to modern biology research. Given the widespread use of bioinformatics and its impacts on societal problem-solving (e.g., in healthcare, agriculture, and natural resources management), there is a growing need for the integration of bioinformatics competencies into undergraduate life sciences education. Here, we present a set of bioinformatics core competencies for undergraduate life scientists developed using the results of a large national survey and the expertise of our working group of bioinformaticians and educators. We also present results from the survey on the importance of bioinformatics skills and the current state of integration of bioinformatics into biology education.
- Citations
- 120
- FWCI
- 4.45
- Field percentile
- top 4%
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
- Barriers to Integration of Bioinformatics into Undergraduate Life Sciences Education
Jason J. Williams, Jennifer C. Drew, … Mark A. Pauley·bioRxiv·Oct 19, 2017
- A global perspective on bioinformatics training needs
M. D. Brazas, C. Brooksbank, … T. K. Attwood·bioRxiv·Feb 27, 2017
- BioSkills Guide: Development and National Validation of a Tool for Interpreting the Vision and Change Core Competencies
A. Clemmons, J. Timbrook, … A. Crowe·bioRxiv·Jan 11, 2020
- The Mastery Rubric for Bioinformatics: supporting design and evaluation of career-spanning education and training
R. E. Tractenberg, J. M. Lindvall, … A. Via·bioRxiv·Jun 2, 2019
- 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
- Evaluating peer-to-peer bioinformatics education: a case study of student learning outcomes and community impact in an undergraduate multi-omic data analysis course
Wade R. Boohar, Kayla Y. Xu, … Jerry S. H. Lee·bioRxiv·Oct 7, 2025