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Online laboratory exercise on computational biology: Phylogenetic analyses and protein modeling based on SARS‐CoV ‐2 data during COVID ‐19 remote instruction
Author(s) -
Lorusso Nicholas S.,
Shumskaya Maria
Publication year - 2020
Publication title -
biochemistry and molecular biology education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.34
H-Index - 39
eISSN - 1539-3429
pISSN - 1470-8175
DOI - 10.1002/bmb.21438
Subject(s) - covid-19 , set (abstract data type) , curriculum , computer science , sars virus , computational biology , biology , virology , medicine , infectious disease (medical specialty) , psychology , programming language , pedagogy , disease , pathology , outbreak
Suspended on‐site instruction during the COVID‐19 created an exceptional challenge for teaching hands‐on laboratory classes. We designed an online laboratory activity using computational biology techniques to overcome this issue. This set of online exercises introduces bioinformatics skills into existing curricula in the form of guided tutorials based on molecular data on SARS‐CoV‐2 virus.