Next-Generation Sequencing Data Analysis Course

About

The Next-Generation Sequencing Data Analysis program offers a deep dive into the techniques and technologies used in modern genomics. Over one month, participants will learn about various sequencing platforms, including Illumina, PacBio, and Oxford Nanopore, and how to utilize popular bioinformatics tools and software for data analysis. The course will cover essential topics such as sequencing data quality control, genome assembly, variant calling, and functional annotation.

Aim

This program is designed to equip participants with the skills to analyze next-generation sequencing (NGS) data, crucial for advancements in genomics, personalized medicine, and biological research. Through hands-on training and theoretical knowledge, students will learn to manage, analyze, and interpret large datasets to drive discoveries and innovations in the life sciences.

Program Objectives

• Master the use of bioinformatics tools for NGS data analysis.
• Understand the principles of sequencing technologies and their applications.
• Perform quality control, read alignment and variant analysis.
• Develop skills in interpreting and reporting genomic data.
• Prepare for advanced research or professional roles in genomics and biotechnology.

Program Structure

Module 1 – Introduction to NGS Technology

Overview of NGS data formats
Accessing NGS data using SRA tool kit
Quality control (FastQC) of reads

Module 2 – Processing of Raw Reads

Adapter clipping, quality trimming
Read mapping (BWA, BWA-MEM, Bowtie2) to reference sequence
Mapping output (SAM/BAM format)
Visualization and evaluation of mapping quality
Variant Call File Format (VCF)

Module 3 – Genome Assembly and Annotation

Bacterial whole genome assembly using SPADES
Assessment of genome assembly using BUSCO, QUAST
Genome Annotation
Functional annotation using EGG-NOG mapper

Participant’s Eligibility

• Undergraduate degree in Genetics, Bioinformatics, Biology, or related fields.
• Professionals in biomedical, agricultural, or environmental sectors.
• Individuals with a foundational understanding of molecular biology and an interest in genomics.

Program Outcomes

• Comprehensive understanding of NGS technologies and data analysis.
• Ability to perform independent genomic analysis using advanced tools.
• Skills in managing and interpreting large genomic datasets.
• Preparedness for roles in research, clinical settings, or the biotech industry.
• Enhanced problem-solving and analytical skills in a genomic context.

Program Deliverables

• Access to e-LMS
• Real-Time Project for Dissertation
• Project Guidance
• Paper Publication Opportunity
• Self Assessment
• Final Examination
• e-Certification
• e-Marksheet