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An educational guide for nanopore sequencing in the classroom

Authors :
Salazar, A.N. (author)
Luzia de Nobrega, F. (author)
Anyansi, C.A. (author)
Aparicio Maldonado, C. (author)
Martins Costa, A.R. (author)
van Eijkeren-Haagsma, A.C. (author)
Hiralal, A.A. (author)
Mahfouz, A.M.E.T.A. (author)
McKenzie, R. (author)
van Rossum, T. (author)
Brouns, S.J.J. (author)
Abeel, T.E.P.M.F. (author)
Salazar, A.N. (author)
Luzia de Nobrega, F. (author)
Anyansi, C.A. (author)
Aparicio Maldonado, C. (author)
Martins Costa, A.R. (author)
van Eijkeren-Haagsma, A.C. (author)
Hiralal, A.A. (author)
Mahfouz, A.M.E.T.A. (author)
McKenzie, R. (author)
van Rossum, T. (author)
Brouns, S.J.J. (author)
Abeel, T.E.P.M.F. (author)
Publication Year :
2020

Abstract

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.<br />Pattern Recognition and Bioinformatics<br />BN/Stan Brouns Lab<br />BN/Technici en Analisten

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1357864760
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1371.journal.pcbi.1007314