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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.
Afiliación
  • Salazar AN; Delft Bioinformatics Laboratory, Delft University of Technology, Delft, Netherlands.
  • Nobrega FL; Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft, Netherlands.
  • Anyansi C; Delft Bioinformatics Laboratory, Delft University of Technology, Delft, Netherlands.
  • Aparicio-Maldonado C; Broad Institute of MIT and Harvard, Boston, Massachusetts, United States of America.
  • Costa AR; Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft, Netherlands.
  • Haagsma AC; Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft, Netherlands.
  • Hiralal A; Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft, Netherlands.
  • Mahfouz A; Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft, Netherlands.
  • McKenzie RE; Delft Bioinformatics Laboratory, Delft University of Technology, Delft, Netherlands.
  • van Rossum T; Leiden Computational Biology center, Leiden University Medical Center, Leiden, Netherlands.
  • Brouns SJJ; Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft, Netherlands.
  • Abeel T; Kavli Institute of Nanoscience, Department of Bionanoscience, Delft University of Technology, Delft, Netherlands.
PLoS Comput Biol ; 16(1): e1007314, 2020 01.
Article en En | MEDLINE | ID: mdl-31971941
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional / Secuenciación de Nanoporos Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Biología Computacional / Secuenciación de Nanoporos Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos