Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource.

As powerful computational tools and 'big data' transform the biological sciences, bioinformatics training is becoming necessary to prepare the next generation of life scientists. Furthermore, because the tools and resources employed in bioinformatics are constantly evolving, bioinformatics...

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Autores principales: Adam J Kleinschmit, Elizabeth F Ryder, Jacob L Kerby, Barbara Murdoch, Sam Donovan, Nealy F Grandgenett, Rachel E Cook, Chamindika Siriwardana, William Morgan, Mark Pauley, Anne Rosenwald, Eric Triplett, William Tapprich
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/ef064b324b7b44e99619b0611396ca37
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spelling oai:doaj.org-article:ef064b324b7b44e99619b0611396ca372021-12-02T20:06:18ZCommunity development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource.1932-620310.1371/journal.pone.0257404https://doaj.org/article/ef064b324b7b44e99619b0611396ca372021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0257404https://doaj.org/toc/1932-6203As powerful computational tools and 'big data' transform the biological sciences, bioinformatics training is becoming necessary to prepare the next generation of life scientists. Furthermore, because the tools and resources employed in bioinformatics are constantly evolving, bioinformatics learning materials must be continuously improved. In addition, these learning materials need to move beyond today's typical step-by-step guides to promote deeper conceptual understanding by students. One of the goals of the Network for Integrating Bioinformatics into Life Sciences Education (NIBSLE) is to create, curate, disseminate, and assess appropriate open-access bioinformatics learning resources. Here we describe the evolution, integration, and assessment of a learning resource that explores essential concepts of biological sequence similarity. Pre/post student assessment data from diverse life science courses show significant learning gains. These results indicate that the learning resource is a beneficial educational product for the integration of bioinformatics across curricula.Adam J KleinschmitElizabeth F RyderJacob L KerbyBarbara MurdochSam DonovanNealy F GrandgenettRachel E CookChamindika SiriwardanaWilliam MorganMark PauleyAnne RosenwaldEric TriplettWilliam TapprichPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0257404 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Adam J Kleinschmit
Elizabeth F Ryder
Jacob L Kerby
Barbara Murdoch
Sam Donovan
Nealy F Grandgenett
Rachel E Cook
Chamindika Siriwardana
William Morgan
Mark Pauley
Anne Rosenwald
Eric Triplett
William Tapprich
Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource.
description As powerful computational tools and 'big data' transform the biological sciences, bioinformatics training is becoming necessary to prepare the next generation of life scientists. Furthermore, because the tools and resources employed in bioinformatics are constantly evolving, bioinformatics learning materials must be continuously improved. In addition, these learning materials need to move beyond today's typical step-by-step guides to promote deeper conceptual understanding by students. One of the goals of the Network for Integrating Bioinformatics into Life Sciences Education (NIBSLE) is to create, curate, disseminate, and assess appropriate open-access bioinformatics learning resources. Here we describe the evolution, integration, and assessment of a learning resource that explores essential concepts of biological sequence similarity. Pre/post student assessment data from diverse life science courses show significant learning gains. These results indicate that the learning resource is a beneficial educational product for the integration of bioinformatics across curricula.
format article
author Adam J Kleinschmit
Elizabeth F Ryder
Jacob L Kerby
Barbara Murdoch
Sam Donovan
Nealy F Grandgenett
Rachel E Cook
Chamindika Siriwardana
William Morgan
Mark Pauley
Anne Rosenwald
Eric Triplett
William Tapprich
author_facet Adam J Kleinschmit
Elizabeth F Ryder
Jacob L Kerby
Barbara Murdoch
Sam Donovan
Nealy F Grandgenett
Rachel E Cook
Chamindika Siriwardana
William Morgan
Mark Pauley
Anne Rosenwald
Eric Triplett
William Tapprich
author_sort Adam J Kleinschmit
title Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource.
title_short Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource.
title_full Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource.
title_fullStr Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource.
title_full_unstemmed Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource.
title_sort community development, implementation, and assessment of a niblse bioinformatics sequence similarity learning resource.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/ef064b324b7b44e99619b0611396ca37
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