About Workshop
The Next-Generation Sequencing Data Analysis workshop offers a deep dive into the techniques and technologies used in modern genomics. Over 3 days, 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 program will cover essential topics such as sequencing data quality control, genome assembly, variant calling, and functional annotation.
Aim
This workshop 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.
What Participants Will Learn
- 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.
Structure
Module 1-
- Introduction to NGS Technology
- Overview of NGS data formats
- Accessing NGS data using SRA tool kit
- Quality control (FastQC) of reads
- 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)
- Bacterial whole genome assembly using SPADES
- Assessment of genome assembly using BUSCO, QUAST
- Genome Annotation
- Functional annotation using EGG-NOG mapper
Important Dates
Workshop Dates
Coming Soon
What You Will Gain
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
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.
Who Should Attend
- 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.
Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet