Course Self Paced All Levels Dr. Omics

NGS & Linux Workflow: DNA-Seq Data Analysis - recorded course

Master the Linux environment to architect robust bioinformatics pipelines for clinical and research-grade DNA sequencing. Leverage AI-driven command-line tools and shell scripting to automate the journey from raw reads to genomic variants.

  • 4.0/5
  • English
  • Updated Aug 2026

About this course

In the era of Big Data genomics, the ability to navigate the Linux terminal is the ultimate superpower for researchers. This specialized course, DNASeq + Linux, provides a hands-on immersion into the computational backbone of Next-Generation Sequencing (NGS) analysis. You will move beyond simple point-and-click interfaces, learning to manage directories, handle large FASTQ files, and execute multi-tool pipelines in a high-performance computing environment. We integrate Artificial Intelligence (AI) through intelligent terminal assistants that help optimize your Bash scripting and debug complex bioinformatics errors in real-time. The curriculum follows a rigorous DNA-Seq workflow—from quality control and reference genome alignment to AI-accelerated variant calling. By mastering the command-line interface (CLI), you will learn how to automate repetitive tasks and ensure your research is scalable and reproducible. Whether you are aiming for a career in Genomics, Precision Medicine, or Biotechnology, this course provides the technical grit required to lead in the digital laboratory.

What you will learn

Proficiency in the Linux Command Line for managing high-volume genomic data.
Advanced Shell Scripting for creating automated, end-to-end NGS pipelines.
Techniques for FASTQ quality assessment and trimming using CLI tools.
Strategic mapping of reads to the human genome using BWA and Bowtie2.
Implementation of AI-driven variant callers to identify SNPs and Indels.
Managing software dependencies and environments using Conda and Docker.

Skills you will gain

Linux-CLI Bash-Scripting DNA-Sequencing Variant-Calling Quality-Control Bioinformatics Data-Automation Git-Versioning Cloud-Computing AI-Debugging

Course curriculum

1 module

  • 1. Linux Introduction , commmands and Tools Installation
  • 2. Introduction to NGS and DNAseq
  • 3. Basic Terminologies in NGS
  • 4. Understanding of SRA database
  • 5. Installing Tools in Linux for Variant Calling
  • 6. Quality Control of Reads
  • 7. Trimming and Filtering Reads
  • 8. Genome Indexing and Read Alignment
  • 9. Variation calling using GATK
  • 10. Predicting Variant Effects
  • 11. Variation Visualization (IGV)

What you need to start

  • A basic understanding of Genetics and DNA structure.
  • Access to a computer (Mac or Windows with WSL2 installed).
  • No prior Linux or coding experience is required—we start from the very first command

Who this course is for

  • Wet-lab Biologists who want to break free from GUI constraints and gain computational independence.
  • Bioinformatics Students needing a solid foundation in Linux before tackling advanced omics.
  • Genomic Scientists aiming to automate their research workflows for higher throughput.
  • Software Engineers transitioning into the Life Sciences and Biotech industries.
INR

₹3999

₹5000 20% off
USD

$45

$50 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.

This course includes
  • Format Self Paced
  • Level All Levels
  • Language English
  • Modules 1
  • Access 3 months
  • Certificate On completion
  • Provider Dr. Omics
  • Upon successful completion of the "DNA-Seq Pipeline Challenge
  • " you will be awarded the "Professional Certificate in Linux for Genomic Data Science."
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