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July 6, 2026

Registration closes July 6, 2026

Oxford Nanopore Sequencing for 3D Organoid Models: Hands-on Long-Read Transcriptomics and Bioinformatics

Decode 3D organoid biology using Oxford Nanopore long-read sequencing and practical bioinformatics workflows.

  • Mode: Virtual / Online
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Days (60-90 minutes each day)
  • Starts: 6 July 2026
  • Time: 8:00 PM IST IST

About This Course

Organoid models provide physiologically relevant 3D systems for studying tissue development, disease modeling, and drug response. Coupling these with Nanopore long-read sequencing enables full-length transcript and structural variant analysis in a biologically faithful context.

This workshop guides participants through the entire workflow—from organoid prep and nucleic acid extraction to Nanopore sequencing, data acquisition, and bioinformatics analysis. Emphasis is placed on hands-on computational and instrument training, allowing participants to confidently generate and interpret high-quality long-read data from complex 3D models.

Aim

Learn to combine 3D organoid biology with Oxford Nanopore long-read sequencing for high-quality nucleic acid analysis.
Gain practical skills in sample prep, library construction, and bioinformatics pipelines for organoid-based research.

Workshop Objectives

Participants will learn to:

  • Prepare 3D organoid cultures and extract high-quality HMW DNA and RNA.
  • Perform Nanopore QC and platform setup for sequencing.
  • Construct Nanopore libraries using ligation or rapid prep kits.
  • Deploy Nanopore bioinformatics pipelines (Minimap2, EPI2ME Labs) for long-read data.
  • Analyze and interpret read-length distributions, isoforms, and structural variants.

Workshop Structure

📅 Day 1: Organoid Prep & Nanopore-Ready Nucleic Acid Extraction

  • Core Objective: Understand how 3D organoid models are prepared for high-quality Nanopore long-read sequencing workflows.
  • Overview of 3D cellular models, including cerebral organoids, intestinal organoids, and tumoroids
  • Nanopore long-read advantage for full-length isoforms and structural variant analysis
  • Dissolving extracellular matrices such as Matrigel without affecting sample quality
  • Extracting High-Molecular-Weight DNA and intact RNA for Nanopore sequencing
  • Sample quality control for purity, quantity, and sequencing readiness

🛠️ Hands-on:

  • Hands-on Lab: Navigating the Nanopore MinKNOW GUI and running flow cell platform QC

🧰 Tools Covered: MinKNOW, ONT Flow Cell QC, Organoid Sample QC Concepts

📅 Day 2: Nanopore Library Preparation Chemistry & Sequencing Physics

  • Core Objective: Learn how Nanopore library preparation chemistry and sequencing physics support real-time long-read data generation.
  • Choosing the right Nanopore library kit: ligation-based vs. rapid preparation workflows
  • Digital fluidics mapping using the official Oxford Nanopore Protocol Builder
  • Structuring Nanopore library preparation workflows inside Benchling
  • Understanding Nanopore biophysics and ionic current disruption during sequencing
  • Real-time processing with Dorado Basecaller using high-accuracy and super-accuracy models

🛠️ Hands-on:

  • Hands-on Tool: Build and map a Nanopore library preparation workflow using ONT Protocol Builder

🧰 Tools Covered: ONT Protocol Builder, Benchling, Dorado Basecaller

📅 Day 3: Nanopore Bioinformatics Pipelines & Downstream Analysis

  • Core Objective: Analyze Nanopore sequencing outputs through alignment, visualization, workflow automation, and downstream interpretation.
  • Understanding native Nanopore output formats: POD5, FASTQ, and BAM
  • Mapping Nanopore long reads using Minimap2 alignment workflows
  • Launching automated organoid analysis workflows through Nanopore EPI2ME Labs
  • Interpreting read-length N50, isoforms, variants, and sequencing output quality
  • Troubleshooting Matrigel contamination and preventing Nanopore flow cell clogging

🛠️ Hands-on:

  • Hands-on Lab: Run Nanopore bioinformatics workflows and interpret long-read sequencing results using EPI2ME Labs

🧰 Tools Covered: POD5, FASTQ, BAM, Minimap2, EPI2ME Labs

Who Should Enrol?

  • Undergraduate/postgraduate degree in Biotechnology, Molecular Biology, Bioinformatics, Genetics, Cell Biology, or related fields.
  • Researchers or professionals in 3D cell culture, genomics, transcriptomics, and single-cell biology.
  • Individuals interested in long-read sequencing applications in organoid research.

Important Dates

Registration Ends

July 6, 2026
IST 7:00 PM IST

Workshop Dates

July 6, 2026 – July 8, 2026
IST 8:00 PM IST

Workshop Outcomes

  • Gain practical knowledge of organoid prep and nucleic acid extraction.
  • Operate Nanopore instruments and perform flow cell QC and library prep.
  • Process and align long-read data using Minimap2 and cloud pipelines.
  • Visualize and interpret sequencing metrics (read length, isoforms, variants).
  • Troubleshoot common issues like Matrigel contamination and flow cell clogging.

Fee Structure

Student Fee

₹2499 | $55

Ph.D. Scholar / Researcher Fee

₹3499 | $65

Academician / Faculty Fee

₹4799 | $80

Industry Professional Fee

₹5799 | $95

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

Need Help?

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