Computational Resources for Bioscience Education

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Abstract

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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APA

Kar, R. K. (2021). Computational Resources for Bioscience Education. Applied Biochemistry and Biotechnology, 193(10), 3418–3424. https://doi.org/10.1007/s12010-021-03601-0

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