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Best practices in bioinformatics training for life scientists

Via, Allegra (author)
Blicher, Thomas (author)
Bongcam Rudloff, Erik (author)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Institutionen för immunologi, genetik och patologi,Institutionen för husdjursgenetik (HGEN),Department of Animal Breeding and Genetics
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Brazas, Michelle D. (author)
Brooksbank, Cath (author)
Budd, Aidan (author)
De Las Rivas, Javier (author)
Dreyer, Jacqueline (author)
Fernandes, Pedro L. (author)
van Gelder, Celia (author)
Jacob, Joachim (author)
Jimenez, Rafael C. (author)
Loveland, Jane (author)
Moran, Federico (author)
Mulder, Nicola (author)
Nyroenen, Tommi (author)
Rother, Kristian (author)
Schneider, Maria Victoria (author)
Attwood, Teresa K. (author)
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 (creator_code:org_t)
 
2013-06-25
2013
English.
In: Briefings in Bioinformatics. - : Oxford University Press (OUP). - 1467-5463 .- 1477-4054. ; 14:5, s. 528-537
Related links:
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https://urn.kb.se/re...
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  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The 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.

Subject headings

LANTBRUKSVETENSKAPER  -- Bioteknologi med applikationer på växter och djur -- Genetik och förädling inom lantbruksvetenskap (hsv//swe)
AGRICULTURAL SCIENCES  -- Agricultural Biotechnology -- Genetics and Breeding in Agricultural Sciences (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)

Keyword

bioinformatics
training
bioinformatics courses
training life scientists
train the trainers

Publication and Content Type

ref (subject category)
art (subject category)

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