Oxford Nanopore Sequencing: Sample to Answer Masterclass

Added:

Platform Overview
Core Technology
Key Benefits
Experiment Planning
Workflow Options
Data Analysis
Setup and Control
Metagenomics Example
Transcriptomics Example
Final Summary

Platform Overview

0:12
Playing Section
  • 1

    Introduces Oxford Nanopore's four-step workflow: preparation, library, sequencing, analysis.

  • 2

    Outlines masterclass series topics covering each stage and bonus applications.

  • 3

    Sets learning objectives for technology basics, benefits, and experiment planning.

Fundamental molecular biology concepts, including DNA/RNA structure, nucleic acid extraction, and the central dogma.
Basic principles of Next-Generation Sequencing (NGS) and how short-read technologies differ from long-read sequencing.
Core biophysical concepts, specifically how ionic current and membrane potential are utilized to measure biological changes.
An understanding of basic bioinformatics terminology, such as basecalling, alignment, mapping, and standard file formats like FASTQ.
Advanced bioinformatics pipelines tailored for long-read assembly, structural variant calling, and polishing (e.g., using Flye, Minimap2, and Medaka).
Direct RNA sequencing protocols and the identification of epigenetic modifications, such as DNA/RNA methylation, without bisulfite conversion.
Metagenomic profiling and real-time pathogen identification workflows for clinical diagnostics and environmental surveillance.
Scaling-up laboratory workflows from portable devices (MinION) to high-throughput sequencing systems (GridION and PromethION) for population-scale genomics.
1.9K views21likes21:57@OxfordNanoporeTechnologiesOriginal Release: 2025-08-19

Oxford Nanopore sequencing technology uses protein nanopores to directly read DNA and RNA molecules by measuring disruptions in ionic current as strands pass through, offering benefits including no PCR bias, direct detection of base modifications, read-length agnosticism from short to ultra-long reads, real-time sequencing capabilities, and scalable chemistry; the streamlined workflow involves four steps—sample preparation, library construction, sequencing, and data analysis—with flexible options tailored to specific experimental goals such as pathogen metagenomics or bulk transcriptomics.