Bringing bioinformatics to schools with the 4273pi project
Abstract
Over the last few decades, the nature of life sciences research has changed enormously, generating a need for a workforce with a variety of computational skills such as those required to store, manage, and analyse the large biological datasets produced by next-generation sequencing. Those with such expertise are increasingly in demand for employment in both research and industry. Despite this, bioinformatics education has failed to keep pace with advances in research. At secondary school level, computing is often taught in isolation from other sciences, and its importance in biological research is not fully realised, leaving pupils unprepared for the computational component of Higher Education and, subsequently, research in the life sciences. The 4273pi Bioinformatics at School project (https://4273pi.org) aims to address this issue by designing and delivering curriculum-linked, hands-on bioinformatics workshops for secondary school biology pupils, with an emphasis on equitable access. So far, we have reached over 180 schools across Scotland through visits or teacher events, and our open education resources are used internationally. Here, we describe our project, our aims and motivations, and the practical lessons we have learned from implementing a successful bioinformatics education project over the last 5 years.
Citation
Bain , S , Plaisier , H , Anderson , F , Cook , N , Crouch , K , Meagher , T R , Ritchie , M G , Wallace , E & Barker , D 2022 , ' Bringing bioinformatics to schools with the 4273pi project ' , PLoS Computational Biology , vol. 18 , no. 1 , e1009705 . https://doi.org/10.1371/journal.pcbi.1009705
Publication
PLoS Computational Biology
Status
Peer reviewed
ISSN
1553-734XType
Journal article
Rights
Copyright: © 2022 Bain et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Description
The work was supported by the Science and Technology Facilities Council (STFC) under Grants STFC ST/R000328/1 (including salary to S.A.B., D.B., H.P., T.R.M. and non-salary costs) and STFC ST/T000872/1 (including salary to S.A.B., D.B., K.C., T.R.M. and non-salary costs), the Darwin Trust of Edinburgh (https://darwintrust.bio.ed.ac.uk; including salary to S.A.B. and H.P. and non-salary costs), the Wellcome Trust-University of Edinburgh Institutional Strategic Support Fund under Wellcome Trust Grant number 204804/Z/16/Z (salary to H.P.), a Public Engagement with Genetics Tier 2 Grant from the Genetics Society (https://genetics.org.uk; non-salary costs), the Natural Environment Research Council (NERC) under Grant NE/P000592/1 (including salary to N.C. and M.G.R. and non-salary costs), the Biotechnology and Biological Sciences Research Council (BBSRC) under Grant BB/S018506/1 (including salary to F.A. and non-salary costs), the School of Biological Sciences at the University of Edinburgh (https://www.ed.ac.uk/biology; including salary to S.A.B. and H.P. and non-salary costs) and its Institute of Evolutionary Biology (https://www.ed.ac.uk/biology/evolutionary-biology; non-salary costs), the Access for Rural Communities project (ARC) at University of St Andrews (https://www.st-andrews.ac.uk/study/access/projects/arc; non-salary costs) and the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/V52038X/1 (including salary to S.A.B. and non-salary costs). E.W.J.W. is supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society [208779/Z/17/Z] (including salary to E.W.J.W.).Collections
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