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Hands-on Introduction to NGS Data Analysis: From Raw Sequencing Reads to Biological Interpretation

Original price was: INR ₹4,999.00.Current price is: INR ₹2,499.00.

Hands-on Introduction to NGS Data Analysis: From Raw Sequencing Reads to Biological Interpretation is an Intermediate-level, 3 Days (60-90 minutes) online program by NSTC. Master NGS data analysis, quality control, alignment and interpretation through hands‑on projects, real datasets, and expert mentorship. Earn your e‑Certification + e‑Marksheet in NGS Data Analysis. Designed for students, researchers, PhD scholars and life‑science professionals seeking practical biotechnology expertise in India.

Attribute
Detail
Format
Recorded Lectures (Self-Paced)
Level
Intermediate
Duration
3 Days (60-90 minutes)
Certification
e-Certification + e-Marksheet
Tools
FastQC, MultiQC, fastp, Trimmomatic, SAMtools, IGV

About the Ngs Data Analysis Course

This 3‑day beginner‑friendly program introduces the fundamentals of Next‑Generation Sequencing (NGS) data processing and biological interpretation.
Learners will explore raw FASTQ files, perform quality control, clean reads, and gain a practical overview of alignment, variant calling and RNA‑Seq interpretation using live demos and hands‑on activities.

Program Highlights

• Comprehensive coverage of Hands from fundamentals to advanced applications
• Hands-on projects and real-world case studies in biotechnology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: FastQC, MultiQC, fastp, Trimmomatic
• Career-oriented training for academic and professional growth in biotechnology

Course Curriculum

Module 1: Day 1 – Introduction to NGS and Sequencing Data Fundamentals

  • Explore major NGS platforms and applications
  • Identify raw sequencing reads and file formats (FASTQ, SAM, VCF…)
  • Interpret Phred scores, read length, depth and coverage
  • Navigate a standard NGS analysis pipeline

Module 2: Day 2 – Quality Control, Read Cleaning and Preprocessing

  • Run FastQC and generate MultiQC summary reports
  • Detect adapters, low‑quality bases and duplication
  • Trim and filter reads using fastp / Trimmomatic
  • Compare raw vs cleaned reads and document QC metrics

Module 3: Day 3 – Basic NGS Workflow Interpretation & Biological Reporting

  • Review alignment concepts and SAM/BAM statistics
  • Explore variant calling basics and VCF interpretation
  • Introduce RNA‑Seq count data and differential expression overview
  • Visualise results with IGV and simple plotting

Tools, Techniques, or Platforms Covered

FastQC
MultiQC
fastp
Trimmomatic
SAMtools
IGV
Google Colab
Google Sheets
FASTQ Viewer

Real-World Applications

  • Apply Hands skills directly to academic research, thesis work, and publications
  • Build a professional portfolio showcasing practical biotechnology competencies
  • Solve industry-relevant problems using Hands methodologies and tools
  • Contribute to open-source projects and collaborative research in biotechnology
  • Prepare for competitive examinations, interviews, and professional certifications in biotechnology

Who Should Attend & Prerequisites

  • Students pursuing degrees in biotechnology, science, engineering, or related disciplines
  • Working professionals seeking to upskill or transition into biotechnology roles
  • Researchers and academicians looking to adopt modern techniques in biotechnology
  • Entrepreneurs, freelancers, and self-learners interested in practical biotechnology knowledge

Prerequisites: Some familiarity with basic concepts in biotechnology will be helpful but is not mandatory. A willingness to learn and engage with hands-on exercises is essential.

Frequently Asked Questions

1. What is the format of this Hands-on Introduction to NGS Data Analysis: From Raw Sequencing Reads to Biological Interpretation course?
This is an Recorded Lectures (Self-Paced) 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.
2. Will I receive a certificate after completing this course?
Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.
3. What are the prerequisites for this course?
Learners should have a foundational understanding of biotechnology concepts. Familiarity with basic tools and programming is recommended.
4. How long will I have access to the course materials?
You will have access to all course materials for the duration of 3 Days (60-90 minutes). The self-paced format allows you to learn according to your own schedule through our online learning management system.
5. Is mentor support available during the course?
Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to biotechnology. Our mentors are industry experts and experienced professionals.
Enroll in Hands-on Introduction to NGS Data Analysis: From Raw Sequencing Reads to Biological Interpretation 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 biotechnology skills that matter.
Brand

NSTC

Format

Recorded Lectures

Duration

3 Days (60-90 minutes)

Level

Intermediate

Domain

biotechnology

Hands-On

Yes – Practical projects with industrial datasets

Tools Used

FastQC, MultiQC, fastp, Trimmomatic, SAMtools, IGV, Google Colab, Google Sheets, FASTQ Viewer

Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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