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An educational guide for nanopore sequencing in the classroom
Alex N Salazar1, Franklin L Nobrega2, Christine Anyansi1,3
1Delft Bioinformatics Laboratory, Delft University of Technology, Delft, Netherlands.
Plos Computational Biology
|January 24, 2020
Summary
New biologists need computational skills to handle big genetic data. This study offers a training model using Oxford Nanopore Technologies sequencing for bacterial and bacteriophage genome assembly.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- The rapid advancement of genetic sequencing technologies has led to an exponential increase in biological data.
- Existing data storage and analysis methods are challenged by this data deluge.
- Many biologists lack the necessary computational skills to effectively utilize these new technologies.
Purpose of the Study:
- To propose a model for training future biologists in computational skills.
- To bridge the gap between experimental biology and bioinformatics.
- To empower educators, scientists, and students in handling large-scale genomic data.
Main Methods:
- Utilizing the Oxford Nanopore Technologies (ONT) sequencing platform.
- Developing a comprehensive guide for long-read genome assembly.
- Creating a standalone virtual machine with all necessary software and learning materials.
Main Results:
- A practical training model integrating experimental and bioinformatics approaches.
- A guide enabling users to perform bacterial and bacteriophage genome assembly.
- A self-contained virtual environment for accessible learning and application.
Conclusions:
- The proposed model equips the next generation of biologists with essential computational competencies.
- This initiative addresses the need for bioinformatics skills in modern biological research.
- The provided resources facilitate hands-on experience with long-read sequencing data analysis.