Course Live Intermediate Dr. Omics

Specialised Course of Nextflow for Bioinformatics: Building Scalable & Reproducible DNA-Seq Pipelines

Master Nextflow to build scalable, automated, portable, and reproducible DNA-Seq bioinformatics pipelines for efficient genomic data analysis.

  • 5.0/5
  • English
  • Updated Sep 2026
Specialised Course of Nextflow for Bioinformatics: Building Scalable & Reproducible DNA-Seq Pipelines

About this course

Develop practical expertise in Nextflow-based workflow development with this specialised course focused on building scalable and reproducible DNA-Seq pipelines. Participants will learn how to design Nextflow processes, manage inputs and outputs, work with channels and parameters, integrate bioinformatics tools, and automate multi-step genomic analysis workflows. Through hands-on exercises, learners will build and execute a complete DNA-Seq pipeline while gaining an understanding of workflow scalability, portability, reproducibility, troubleshooting, and efficient resource management.

What you will learn

Understand Nextflow fundamentals and workflow architecture.
Create and execute Nextflow processes and workflows.
Work effectively with channels, parameters, inputs, and outputs.
Build an end-to-end DNA-Seq analysis pipeline.
Integrate multiple bioinformatics tools into a unified workflow.
Automate repetitive genomic data-analysis tasks.
Develop scalable and reproducible bioinformatics workflows.
Troubleshoot and optimize pipeline execution.
Understand workflow portability across different computing environments.

Skills you will gain

Nextflow fundamentals workflow development Nextflow processes channels inputs and outputs parameters DNA-Seq analysis pipeline automation bioinformatics tool integration workflow execution error handling resource management workflow scalability reproducible analysis pipeline optimization workflow portability

Course curriculum

1 module

  • Introduction to Workflow Management & Nextflow
  • Nextflow Processes, Inputs & Outputs
  • Channels & Operators
  • DSL2, Modules & Workflow Structure
  • DNA-seq Workflow: QC & Preprocessing
  • DNA-seq Alignment & BAM Processing
  • Variant Calling with GATK
  • Complete DNA-seq Pipeline Development
  • Configuration, Parameters & Reproducibility
  • Debugging, Optimization, Reports & Deployment

What you need to start

  • Basic understanding of bioinformatics and DNA sequencing.
  • Familiarity with NGS/DNA-Seq concepts.
  • Basic Linux and command-line knowledge is recommended.
  • Basic scripting knowledge is helpful but not mandatory.
  • No prior Nextflow experience is required.

Who this course is for

  • B.Sc./M.Sc. students in Bioinformatics, Biotechnology, Genomics, Genetics, and Life Sciences.
  • PhD scholars and research students working with NGS data.
  • Bioinformatics professionals and computational biologists.
  • NGS analysts interested in workflow automation.
  • Researchers working on genomic data analysis.
  • Learners with basic Linux and bioinformatics knowledge who want to develop Nextflow skills.
INR

₹12000

₹15000 20% off
USD

$180

$200 10% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Active batch
Open for enrolment
Specialised Course of Nextflow for Bioinformatics: Building Scalable & Reproducible DNA-Seq
  • Starts 05 Oct 2026
  • Ends 19 Oct 2026
  • Timing 6:00 PM – 7:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This course includes
  • Format Live
  • Level Intermediate
  • Language English
  • Modules 1
  • Certificate On completion
  • Provider Dr. Omics
  • Hands-on Nextflow training from fundamentals to practical workflow development.
  • Process
  • channel
  • parameter
  • input
  • and output handling.
  • Complete DNA-Seq pipeline development.
  • Integration of bioinformatics tools within Nextflow.
  • Pipeline automation and execution.
  • Scalable and reproducible workflow development.
  • Pipeline troubleshooting and optimization.
  • Practical exercises using genomic datasets.
  • Course materials and learning resources.
  • Certificate of completion.
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