Course Live All Levels EIMT

Next Generation Sequencing Data Analysis: Hands-on NGS Data Analysis for Genomic Research Projects

Master Genomic Data Science with AI-Driven Bioinformatics Pipelines Bridging Experimental Biology and Computational Intelligence for Research Excellence

  • 5.0/5
  • English
  • Updated May 2026
INR

₹100000

Billed in INR for all learners, in India and internationally.

Enroll for International Students

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

Next Generation Sequencing Data Analysis: Hands-on NGS Data Analysis for Genomic Research Projects

About this course

This intensive 6-month program is designed to transform biological researchers into proficient genomic data scientists through an immersive, hands-on curriculum. Participants will navigate the entire NGS workflow, from raw signal processing and Quality Control (QC) to advanced secondary and tertiary analysis. The course integrates cutting-edge AI and Machine Learning models to enhance variant calling accuracy and interpret complex single-cell transcriptomics data. By working on real-world genomic research projects, you will master the Linux command-line, R/Bioconductor environments, and automated Nextflow pipelines. This training bridges the gap between wet-lab experimentation and dry-lab computational insights, preparing you for high-impact roles in precision medicine, drug discovery, and evolutionary genomics.

What you will learn

Sequencing Fundamentals: Understand the chemistry and physics of Illumina, Oxford Nanopore, and PacBio platforms.
Data Preprocessing: Master tools like FastQC, Trimmomatic, and MultiQC for rigorous quality assessment.
Alignment & Mapping: Perform high-accuracy read mapping using BWA, Bowtie2, and STAR aligners.
Variant Discovery: Identify SNPs, Indels, and Structural Variants using GATK and AI-driven variant callers.
Transcriptomics (RNA-Seq): Analyze differential gene expression and functional enrichment using DESeq2 and ClusterProfiler.
AI in Genomics: Apply Deep Learning models for base calling and predictive oncology analytics.
Pipeline Automation: Build reproducible genomic workflows using Nextflow and Snakemake.

Skills you will gain

Bioinformatics Genomics Linux Python R-Programming Machine-Learning Cloud-Computing Data-Visualization Scripting Statistics |Automation Pipelines
Certification

Available

Issued by EIMT

Course curriculum

1 module

  • Module 1: Introduction to NGS Technologies and Genomic Data Formats (FASTQ, BAM, VCF).
  • Module 2: Essential Linux Command Line and Shell Scripting for Big Data.
  • Module 3: Quality Control, Read Trimming, and Reference Genome Mapping Strategies.
  • Module 4: DNA-Seq Analysis: Germline and Somatic Variant Calling Workflows.
  • Module 5: RNA-Seq Analysis: From Transcript Quantification to Pathway Enrichment.
  • Module 6: Epigenomics and Metagenomics: ChIP-Seq, ATAC-Seq, and Microbiome Profiling.
  • Module 7: Integrating AI and Machine Learning for Genomic Pattern Recognition.
  • Module 8: Capstone Project: End-to-End Analysis of a Real-World Genomic Dataset.

What you need to start

  • A basic understanding of Molecular Biology (DNA/RNA/Proteins).
  • Familiarity with computer operations (no prior coding experience required; we start from scratch).
  • Access to a laptop with at least 8GB RAM (Cloud-based servers will be provided for heavy tasks).

Who this course is for

  • Biologists & Biotechnologists looking to transition into computational research.
  • MSc/PhD Scholars aiming to analyze their own NGS research data.
  • Medical Professionals interested in clinical genomics and precision oncology.
  • Data Scientists seeking to specialize in the high-growth field of bioinformatics.
INR

₹100000

Billed in INR for all learners, in India and internationally.

Enroll for International Students

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

This course includes
  • Format Live
  • Level All Levels
  • Language English
  • Modules 1
  • Certificate Yes
  • Provider EIMT
  • Upon successful completion of the course and the capstone project
  • participants will be awarded a "Professional Certificate in Hands-on NGS Data Analysis"
  • validating their expertise in genomic data science
  • AI-driven bioinformatics
  • and industrial research workflows.
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