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An educational guide for nanopore sequencing in the classroom
The last decade has witnessed a remarkable increase in our ability to measure genetic information. Advancements of sequencing technologies are challenging the existing methods of data storage and analysis. While methods to cope with the data deluge are progressing, many biologists have lagged behind...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977714/ https://www.ncbi.nlm.nih.gov/pubmed/31971941 http://dx.doi.org/10.1371/journal.pcbi.1007314 |
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author | Salazar, Alex N. Nobrega, Franklin L. Anyansi, Christine Aparicio-Maldonado, Cristian Costa, Ana Rita Haagsma, Anna C. Hiralal, Anwar Mahfouz, Ahmed McKenzie, Rebecca E. van Rossum, Teunke Brouns, Stan J. J. Abeel, Thomas |
author_facet | Salazar, Alex N. Nobrega, Franklin L. Anyansi, Christine Aparicio-Maldonado, Cristian Costa, Ana Rita Haagsma, Anna C. Hiralal, Anwar Mahfouz, Ahmed McKenzie, Rebecca E. van Rossum, Teunke Brouns, Stan J. J. Abeel, Thomas |
author_sort | Salazar, Alex N. |
collection | PubMed |
description | The last decade has witnessed a remarkable increase in our ability to measure genetic information. Advancements of sequencing technologies are challenging the existing methods of data storage and analysis. While methods to cope with the data deluge are progressing, many biologists have lagged behind due to the fast pace of computational advancements and tools available to address their scientific questions. Future generations of biologists must be more computationally aware and capable. This means they should be trained to give them the computational skills to keep pace with technological developments. Here, we propose a model that bridges experimental and bioinformatics concepts using the Oxford Nanopore Technologies (ONT) sequencing platform. We provide both a guide to begin to empower the new generation of educators, scientists, and students in performing long-read assembly of bacterial and bacteriophage genomes and a standalone virtual machine containing all the required software and learning materials for the course. |
format | Online Article Text |
id | pubmed-6977714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69777142020-02-04 An educational guide for nanopore sequencing in the classroom Salazar, Alex N. Nobrega, Franklin L. Anyansi, Christine Aparicio-Maldonado, Cristian Costa, Ana Rita Haagsma, Anna C. Hiralal, Anwar Mahfouz, Ahmed McKenzie, Rebecca E. van Rossum, Teunke Brouns, Stan J. J. Abeel, Thomas PLoS Comput Biol Education The last decade has witnessed a remarkable increase in our ability to measure genetic information. Advancements of sequencing technologies are challenging the existing methods of data storage and analysis. While methods to cope with the data deluge are progressing, many biologists have lagged behind due to the fast pace of computational advancements and tools available to address their scientific questions. Future generations of biologists must be more computationally aware and capable. This means they should be trained to give them the computational skills to keep pace with technological developments. Here, we propose a model that bridges experimental and bioinformatics concepts using the Oxford Nanopore Technologies (ONT) sequencing platform. We provide both a guide to begin to empower the new generation of educators, scientists, and students in performing long-read assembly of bacterial and bacteriophage genomes and a standalone virtual machine containing all the required software and learning materials for the course. Public Library of Science 2020-01-23 /pmc/articles/PMC6977714/ /pubmed/31971941 http://dx.doi.org/10.1371/journal.pcbi.1007314 Text en © 2020 Salazar et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Education Salazar, Alex N. Nobrega, Franklin L. Anyansi, Christine Aparicio-Maldonado, Cristian Costa, Ana Rita Haagsma, Anna C. Hiralal, Anwar Mahfouz, Ahmed McKenzie, Rebecca E. van Rossum, Teunke Brouns, Stan J. J. Abeel, Thomas An educational guide for nanopore sequencing in the classroom |
title | An educational guide for nanopore sequencing in the classroom |
title_full | An educational guide for nanopore sequencing in the classroom |
title_fullStr | An educational guide for nanopore sequencing in the classroom |
title_full_unstemmed | An educational guide for nanopore sequencing in the classroom |
title_short | An educational guide for nanopore sequencing in the classroom |
title_sort | educational guide for nanopore sequencing in the classroom |
topic | Education |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977714/ https://www.ncbi.nlm.nih.gov/pubmed/31971941 http://dx.doi.org/10.1371/journal.pcbi.1007314 |
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