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An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406131/ https://www.ncbi.nlm.nih.gov/pubmed/34225494 http://dx.doi.org/10.1128/mBio.01214-21 |
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author | Berry, Alexander S. F. Farias Amorim, Camila Berry, Corbett L. Syrett, Camille M. English, Elise D. Beiting, Daniel P. |
author_facet | Berry, Alexander S. F. Farias Amorim, Camila Berry, Corbett L. Syrett, Camille M. English, Elise D. Beiting, Daniel P. |
author_sort | Berry, Alexander S. F. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8406131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-84061312021-09-09 An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases Berry, Alexander S. F. Farias Amorim, Camila Berry, Corbett L. Syrett, Camille M. English, Elise D. Beiting, Daniel P. mBio Perspective 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. American Society for Microbiology 2021-07-06 /pmc/articles/PMC8406131/ /pubmed/34225494 http://dx.doi.org/10.1128/mBio.01214-21 Text en Copyright © 2021 Berry et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Perspective Berry, Alexander S. F. Farias Amorim, Camila Berry, Corbett L. Syrett, Camille M. English, Elise D. Beiting, Daniel P. An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases |
title | An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases |
title_full | An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases |
title_fullStr | An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases |
title_full_unstemmed | An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases |
title_short | An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases |
title_sort | open-source toolkit to expand bioinformatics training in infectious diseases |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406131/ https://www.ncbi.nlm.nih.gov/pubmed/34225494 http://dx.doi.org/10.1128/mBio.01214-21 |
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