An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases
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...
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American Society for Microbiology
2021
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oai:doaj.org-article:6a4bec55a2e84626a3c94f626b19d7e72021-11-10T18:37:52ZAn Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases10.1128/mBio.01214-212150-7511https://doaj.org/article/6a4bec55a2e84626a3c94f626b19d7e72021-08-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.01214-21https://doaj.org/toc/2150-7511ABSTRACT 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.Alexander S. F. BerryCamila Farias AmorimCorbett L. BerryCamille M. SyrettElise D. EnglishDaniel P. BeitingAmerican Society for Microbiologyarticleeducationbioinformaticsgenomicsinfectious diseasetranscriptionMicrobiologyQR1-502ENmBio, Vol 12, Iss 4 (2021) |
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DOAJ |
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education bioinformatics genomics infectious disease transcription Microbiology QR1-502 |
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education bioinformatics genomics infectious disease transcription Microbiology QR1-502 Alexander S. F. Berry Camila Farias Amorim Corbett L. Berry Camille M. Syrett Elise D. English Daniel P. Beiting An Open-Source Toolkit To Expand Bioinformatics Training in Infectious Diseases |
description |
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. |
format |
article |
author |
Alexander S. F. Berry Camila Farias Amorim Corbett L. Berry Camille M. Syrett Elise D. English Daniel P. Beiting |
author_facet |
Alexander S. F. Berry Camila Farias Amorim Corbett L. Berry Camille M. Syrett Elise D. English Daniel P. Beiting |
author_sort |
Alexander S. F. Berry |
title |
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_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_sort |
open-source toolkit to expand bioinformatics training in infectious diseases |
publisher |
American Society for Microbiology |
publishDate |
2021 |
url |
https://doaj.org/article/6a4bec55a2e84626a3c94f626b19d7e7 |
work_keys_str_mv |
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