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mBio ; 12(4): e0121421, 2021 08 31.
Article in English | MEDLINE | ID: covidwho-1297963

ABSTRACT

As access to high-throughput sequencing technology has increased, the bottleneck in biomedical research has shifted from data generation to data analysis. Here, we describe a modular and extensible framework for didactic instruction in bioinformatics using publicly available RNA sequencing data sets from infectious disease studies, with a focus on host-parasite interactions. We highlight lessons learned from adapting this course for virtual learners during the coronavirus disease 2019 (COVID-19) pandemic.


Subject(s)
Computational Biology/education , Computational Biology/methods , Host-Parasite Interactions/physiology , Animals , COVID-19/pathology , Data Analysis , Genomics , High-Throughput Nucleotide Sequencing , Humans , Plasmodium falciparum/drug effects , Plasmodium falciparum/genetics , Plasmodium falciparum/physiology , Schistosoma mansoni/drug effects , Schistosoma mansoni/genetics , Schistosoma mansoni/physiology , Toxoplasma/drug effects , Toxoplasma/genetics , Toxoplasma/physiology
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