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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 learning...

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Autores principales: Kleinschmit, Adam J., Ryder, Elizabeth F., Kerby, Jacob L., Murdoch, Barbara, Donovan, Sam, Grandgenett, Nealy F., Cook, Rachel E., Siriwardana, Chamindika, Morgan, William, Pauley, Mark, Rosenwald, Anne, Triplett, Eric, Tapprich, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432852/
https://www.ncbi.nlm.nih.gov/pubmed/34506617
http://dx.doi.org/10.1371/journal.pone.0257404
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author Kleinschmit, Adam J.
Ryder, Elizabeth F.
Kerby, Jacob L.
Murdoch, Barbara
Donovan, Sam
Grandgenett, Nealy F.
Cook, Rachel E.
Siriwardana, Chamindika
Morgan, William
Pauley, Mark
Rosenwald, Anne
Triplett, Eric
Tapprich, William
author_facet Kleinschmit, Adam J.
Ryder, Elizabeth F.
Kerby, Jacob L.
Murdoch, Barbara
Donovan, Sam
Grandgenett, Nealy F.
Cook, Rachel E.
Siriwardana, Chamindika
Morgan, William
Pauley, Mark
Rosenwald, Anne
Triplett, Eric
Tapprich, William
author_sort Kleinschmit, Adam J.
collection PubMed
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.
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spelling pubmed-84328522021-09-11 Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource Kleinschmit, Adam J. Ryder, Elizabeth F. Kerby, Jacob L. Murdoch, Barbara Donovan, Sam Grandgenett, Nealy F. Cook, Rachel E. Siriwardana, Chamindika Morgan, William Pauley, Mark Rosenwald, Anne Triplett, Eric Tapprich, William PLoS One Research Article 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. Public Library of Science 2021-09-10 /pmc/articles/PMC8432852/ /pubmed/34506617 http://dx.doi.org/10.1371/journal.pone.0257404 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Kleinschmit, Adam J.
Ryder, Elizabeth F.
Kerby, Jacob L.
Murdoch, Barbara
Donovan, Sam
Grandgenett, Nealy F.
Cook, Rachel E.
Siriwardana, Chamindika
Morgan, William
Pauley, Mark
Rosenwald, Anne
Triplett, Eric
Tapprich, William
Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432852/
https://www.ncbi.nlm.nih.gov/pubmed/34506617
http://dx.doi.org/10.1371/journal.pone.0257404
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