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DSTC-00386 Online (e-LMS) Graduate / Intermediate

Next-Generation Sequencing (NGS) Data Analysis Course

by - DSTC

Apply next-generation sequencing analysis across real use cases.

★★★★★ Be the first to review 4 Weeks · 40 hrs e-Certificate Included
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From ₹2,500 + GST

Programme Parameters

Educational Level:
Graduate / Intermediate
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

Next-Generation Sequencing (NGS) Data Analysis takes an application-oriented tour of what NGS analysis actually delivers across study types. Building on the core pipeline — QC, alignment and downstream analysis — you see how it adapts to different real applications: variant studies, transcriptomics, microbiome and targeted panels, each with its own considerations. The course emphasises matching analysis to the biological question. You finish able to choose and run the right NGS analysis for a given study type. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

This course covers next-generation sequencing (NGS) data analysis across applications — applying the NGS pipeline to variant, transcriptome, microbiome and other real-world studies.

📋 Course Objectives

1. Run the core NGS analysis pipeline.
2. Adapt analysis to variant studies.
3. Apply NGS to transcriptome and microbiome.
4. Handle targeted and panel sequencing.
5. Match analysis to the biological question.

👥 Who Should Enroll?

• Genomics and molecular-biology researchers
• Bioinformatics students and staff
• Lab and core-facility analysts
• Anyone applying NGS to research

🚀 Key Learning Outcomes

• The ability to run application-specific NGS analysis.
• A study-type-aware perspective.
• A practical genomics skill set.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Foundations of Next-Generation Sequencing (NGS) Data Analysis and Core Biological Principles

Analyze the molecular mechanisms of DNA replication, transcription, and mutation to interpret how sequencing errors propagate in NGS platforms • Evaluate the architectural differences between Illumina short-read, PacBio long-read, and Oxford Nanopore sequencing technologies for experimental selection • Calculate coverage depth, read length distributions, and error profiles using FASTQC and MultiQC to assess raw sequencing data quality

Module 2 Outline

Laboratory Techniques, Protocols, and Data Collection

Design end-to-end wet-lab workflows including DNA/RNA extraction, library preparation, and quality control for whole-genome and targeted sequencing • Troubleshoot common protocol failures such as adapter dimer formation, PCR amplification bias, and sample cross-contamination using gel electrophoresis and qPCR validation • Execute standardized sample tracking, batch recording, and chain-of-custody documentation to ensure reproducible multi-center sequencing studies

Module 3 Outline

Bioinformatics Tools and Computational Analysis

Construct automated variant calling pipelines using BWA-MEM for alignment, GATK HaplotypeCaller for SNP/indel detection, and ANNOVAR for functional annotation • Develop reproducible analysis environments by containerizing workflows with Docker/Singularity and orchestrating pipelines with Snakemake or Nextflow • Visualize genomic data tracks, coverage profiles, and structural variants using Integrative Genomics Viewer (IGV) and UCSC Genome Browser for manual curation

Module 4 Outline

Research Methodology and Experimental Design

Calculate statistical power and sample sizes for case-control, cohort, and family-based sequencing studies using tools like GATK-SV or power calculators • Design balanced experimental layouts with proper randomization, blocking, and batch effect controls to minimize confounding in multi-lane sequencing runs • Formulate falsifiable hypotheses and define primary/secondary endpoints aligned with FAIR data principles for publishable NGS research

Module 5 Outline

Advanced Next-Generation Sequencing (NGS) Data Analysis Applications and Translational Research

Integrate multi-omics datasets by combining RNA-seq expression quantification with ChIP-seq peak calling and ATAC-seq chromatin accessibility analysis • Apply machine learning classifiers such as random forests and deep neural networks to predict disease phenotypes from variant burden scores and pathway enrichment data • Interpret clonal evolution trajectories and tumor mutational burden from single-cell and bulk whole-exome sequencing in precision oncology contexts

Module 6 Outline

Regulatory Compliance, Bioethics, and Safety Standards

Navigate CLIA/CAP accreditation requirements, FDA guidance on NGS-based diagnostics, and GDPR/HIPAA frameworks for genomic data privacy • Evaluate informed consent protocols for secondary use of genomic data, return of incidental findings, and data sharing through controlled-access repositories like dbGaP • Implement cybersecurity measures including encryption, access logging, and de-identification pipelines to protect sensitive human genomic datasets

Module 7 Outline

Industry Applications, Career Pathways, and Case Studies

Assess commercial NGS service models, diagnostic assay development timelines, and regulatory submission strategies from Illumina, Thermo Fisher, and emerging biotech case studies • Analyze cost-per-sample economics, turnaround time optimization, and CLIA-lab operational workflows for clinical and pharmaceutical NGS deployment • Construct professional portfolios demonstrating end-to-end project ownership, cross-functional collaboration, and stakeholder communication for biotech hiring managers

Technical Specifications

ParameterRequirement
Covered Tool / PlatformPython
Covered Tool / PlatformGATK
Covered Tool / PlatformBWA
Covered Tool / PlatformSAMtools
Covered Tool / Platformbcftools
Covered Tool / PlatformANNOVAR
Covered Tool / PlatformSnakemake
Covered Tool / PlatformNextflow
Covered Tool / PlatformDocker

Frequently Asked Questions

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

Learners should have a foundational understanding of Bioinformatics concepts. Familiarity with basic tools and programming is recommended.

You will have access to all course materials for the duration of 12 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Bioinformatics. Our mentors are industry experts and experienced professionals. Enroll in Next-Generation Sequencing (NGS) Data Analysis Course today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Bioinformatics skills that matter.

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