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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...

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Detalles Bibliográficos
Autores principales: Berry, Alexander S. F., Farias Amorim, Camila, Berry, Corbett L., Syrett, Camille M., English, Elise D., Beiting, Daniel P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
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.
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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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