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dc.contributor.authorVia, Allegra
dc.contributor.authorBlicher, Thomas
dc.contributor.authorBongcam-Rudloff, Erik
dc.contributor.authorBrazas, Michelle D
dc.contributor.authorBrooksbank, Cath
dc.contributor.authorBudd, Aidan
dc.contributor.authorDe Las Rivas, Javier
dc.contributor.authorDreyer, Jacqueline
dc.contributor.authorFernandes, Pedro L
dc.contributor.authorvan Gelder, Celia
dc.contributor.authorJacob, Joachim
dc.contributor.authorJimenez, Rafael C
dc.contributor.authorLoveland, Jane
dc.contributor.authorMoran, Federico
dc.contributor.authorMulder, Nicola
dc.contributor.authorNyrönen, Tommi
dc.contributor.authorRother, Kristian
dc.contributor.authorSchneider, Maria Victoria
dc.contributor.authorAttwood, Teresa K
dc.date.accessioned2016-02-21T08:50:20Z
dc.date.available2016-02-21T08:50:20Z
dc.date.issued2013-06-25
dc.identifier.citationVia A, Blicher T, Bongcam-Rudloff E, Brazas MD, Brooksbank C, et al. (2013) Best practices in bioinformatics training for life scientists. Briefings in Bioinformatics 14: 528–537. Available: http://dx.doi.org/10.1093/bib/bbt043.
dc.identifier.issn1467-5463
dc.identifier.issn1477-4054
dc.identifier.pmid23803301
dc.identifier.doi10.1093/bib/bbt043
dc.identifier.urihttp://hdl.handle.net/10754/596771
dc.description.abstractThe mountains of data thrusting from the new landscape of modern high-throughput biology are irrevocably changing biomedical research and creating a near-insatiable demand for training in data management and manipulation and data mining and analysis. Among life scientists, from clinicians to environmental researchers, a common theme is the need not just to use, and gain familiarity with, bioinformatics tools and resources but also to understand their underlying fundamental theoretical and practical concepts. Providing bioinformatics training to empower life scientists to handle and analyse their data efficiently, and progress their research, is a challenge across the globe. Delivering good training goes beyond traditional lectures and resource-centric demos, using interactivity, problem-solving exercises and cooperative learning to substantially enhance training quality and learning outcomes. In this context, this article discusses various pragmatic criteria for identifying training needs and learning objectives, for selecting suitable trainees and trainers, for developing and maintaining training skills and evaluating training quality. Adherence to these criteria may help not only to guide course organizers and trainers on the path towards bioinformatics training excellence but, importantly, also to improve the training experience for life scientists.
dc.description.sponsorshipThe article Open Access charge was jointly funded by The Genome Analysis Centre (TGAC, Norwich, UK), the Biotechnology and Biological Sciences Research Council (BBSRC, UK), the SLU-Global Bioinformatics Centre (SGBC, Uppsala, Sweden), the SeqAhead (COST Action, BM1006) and EMBnet. Meetings of the Bioinformatics Training Network were hosted at the EBI from 2009-2011, supported by the SLING project, funded by the European Commission within Research Infrastructures of the FP7 Capacities Specific Programme, grant agreement number 226073. The B3CB meeting was hosted by EMBnet in Uppsala, Sweden, and the BTN2012 and the GOBLET kick-off meeting were hosted by the Netherlands Bioinformatics Centre (NBIC). AV is supported by King Abdullah University of Science and Technology (KAUST), award number KUK-I1-012-43.
dc.publisherOxford University Press (OUP)
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.subjectBioinformatics
dc.subjectTraining
dc.subjectBioinformatics Courses
dc.subjectTrain The Trainers
dc.subjectTraining Life Scientists
dc.titleBest practices in bioinformatics training for life scientists.
dc.typeArticle
dc.identifier.journalBriefings in Bioinformatics
dc.identifier.pmcidPMC3771230
dc.contributor.institutionDepartment of Physics, Sapienza University, P.le Aldo Moro 5, 00185 Rome, Italy. allegra.via@uniroma1.it.
kaust.grant.numberKUK-I1-012-43
refterms.dateFOA2018-06-13T12:04:02Z


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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution License (), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.