Computational Resources for Bioscience Education.

Appl Biochem Biotechnol

Faculty II-Mathematics and Natural Sciences, Technische Universität Berlin, Sekr. PC 14, Strasse des 17. Juni 135, D-10623, Berlin, Germany.

Published: October 2021

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184869PMC
http://dx.doi.org/10.1007/s12010-021-03601-0DOI Listing

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