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

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.

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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.