Print Email Facebook Twitter An educational guide for nanopore sequencing in the classroom Title An educational guide for nanopore sequencing in the classroom Author Salazar, A.N. (TU Delft Pattern Recognition and Bioinformatics) Luzia de Nobrega, F. (TU Delft BN/Stan Brouns Lab; Kavli institute of nanoscience Delft) Anyansi, C.A. (TU Delft Pattern Recognition and Bioinformatics; Broad Institute of MIT and Harvard) Aparicio Maldonado, C. (TU Delft BN/Stan Brouns Lab; Kavli institute of nanoscience Delft) Martins Costa, A.R. (TU Delft BN/Stan Brouns Lab; Kavli institute of nanoscience Delft) van Eijkeren-Haagsma, A.C. (TU Delft BN/Technici en Analisten; Kavli institute of nanoscience Delft) Hiralal, A.A. (TU Delft BN/Stan Brouns Lab; Kavli institute of nanoscience Delft) Mahfouz, A.M.E.T.A. (TU Delft Pattern Recognition and Bioinformatics; Leiden University Medical Center) McKenzie, R. (TU Delft BN/Stan Brouns Lab; Kavli institute of nanoscience Delft) van Rossum, T. (TU Delft BN/Stan Brouns Lab; Kavli institute of nanoscience Delft) Brouns, S.J.J. (TU Delft BN/Stan Brouns Lab; Kavli institute of nanoscience Delft) Abeel, T.E.P.M.F. (TU Delft Pattern Recognition and Bioinformatics; Broad Institute of MIT and Harvard) Date 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. To reference this document use: http://resolver.tudelft.nl/uuid:bf190e26-4afd-4f77-9e96-a922207ecdd5 DOI https://doi.org/10.1371/journal.pcbi.1007314 ISSN 1553-734X Source PLoS Computational Biology (Print), 16 (1), e1007314 Part of collection Institutional Repository Document type journal article Rights © 2020 A.N. Salazar, F. Luzia de Nobrega, C.A. Anyansi, C. Aparicio Maldonado, A.R. Martins Costa, A.C. van Eijkeren-Haagsma, A.A. Hiralal, A.M.E.T.A. Mahfouz, R. McKenzie, T. van Rossum, S.J.J. Brouns, T.E.P.M.F. Abeel Files PDF journal.pcbi.1007314.pdf 808.78 KB Close viewer /islandora/object/uuid:bf190e26-4afd-4f77-9e96-a922207ecdd5/datastream/OBJ/view