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Computational Resources for Bioscience Education

With the ongoing laboratory restrictions, it is often challenging for bioscience students to make satisfactory progress in their projects. A long-standing practice in multi-disciplinary research is to use computational and theoretical method to corroborate with experiment findings. In line with the...

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Detalles Bibliográficos
Autor principal: Kar, Rajiv K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184869/
https://www.ncbi.nlm.nih.gov/pubmed/34101113
http://dx.doi.org/10.1007/s12010-021-03601-0
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author Kar, Rajiv K.
author_facet Kar, Rajiv K.
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description With the ongoing laboratory restrictions, it is often challenging for bioscience students to make satisfactory progress in their projects. A long-standing practice in multi-disciplinary research is to use computational and theoretical method to corroborate with experiment findings. In line with the lack of opportunity to access laboratory instruments, the pandemic situation is a win-win scenario for scholars to focus on computational methods. This communication outline some of the standalone tools and webservers that bioscience students can successfully learn and adopt to obtain in-depth insights into biochemistry, biophysics, biotechnology, and bioengineering research work.
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spelling pubmed-81848692021-06-08 Computational Resources for Bioscience Education Kar, Rajiv K. Appl Biochem Biotechnol Short Communication With the ongoing laboratory restrictions, it is often challenging for bioscience students to make satisfactory progress in their projects. A long-standing practice in multi-disciplinary research is to use computational and theoretical method to corroborate with experiment findings. In line with the lack of opportunity to access laboratory instruments, the pandemic situation is a win-win scenario for scholars to focus on computational methods. This communication outline some of the standalone tools and webservers that bioscience students can successfully learn and adopt to obtain in-depth insights into biochemistry, biophysics, biotechnology, and bioengineering research work. Springer US 2021-06-08 2021 /pmc/articles/PMC8184869/ /pubmed/34101113 http://dx.doi.org/10.1007/s12010-021-03601-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Short Communication
Kar, Rajiv K.
Computational Resources for Bioscience Education
title Computational Resources for Bioscience Education
title_full Computational Resources for Bioscience Education
title_fullStr Computational Resources for Bioscience Education
title_full_unstemmed Computational Resources for Bioscience Education
title_short Computational Resources for Bioscience Education
title_sort computational resources for bioscience education
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184869/
https://www.ncbi.nlm.nih.gov/pubmed/34101113
http://dx.doi.org/10.1007/s12010-021-03601-0
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