An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases
| Autor: | Corbett T. Berry, Daniel P. Beiting, Alexander S. F. Berry, Elise D English, Camille M. Syrett, Camila Farias Amorim |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Data Analysis Coronavirus disease 2019 (COVID-19) Test data generation Computer science infectious disease Plasmodium falciparum education Genomics Bioinformatics Microbiology Bottleneck Host-Parasite Interactions 03 medical and health sciences 0302 clinical medicine Virology Pandemic genomics Animals Humans business.industry COVID-19 Computational Biology High-Throughput Nucleotide Sequencing Schistosoma mansoni bioinformatics Modular design Editor's Pick QR1-502 030104 developmental biology Infectious disease (medical specialty) Perspective Transcription (software) business transcription Toxoplasma 030217 neurology & neurosurgery |
| Zdroj: | mBio, Vol 12, Iss 4 (2021) mBio |
| ISSN: | 2150-7511 |
| DOI: | 10.1128/mBio.01214-21 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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