New Year Offer End Date: 31st January 2024
Course

Next-Generation Sequencing Data Analysis Workshop

“Unlocking the Power of Genomics: Next-Generation Sequencing Data Analysis Workshop”

About Course:

The Next-Generation Sequencing (NGS) Data Analysis workshop is designed to provide hands-on training on various bioinformatics tools and techniques for analyzing large-scale genomic data generated by next-generation sequencing technologies.

Aim: The workshop also aims to provide participants with advanced knowledge and skills in NGS data analysis, including transcriptome analysis, epigenetic analysis, metagenomics, and de novo assembly. The ultimate goal of the workshop is to enable participants to apply these techniques to solve complex research questions and make meaningful scientific discoveries in the field of genomics.

Course Objectives:

What you will learn?

Day 1-

  1. Introduction to NGS Technology
  2. Overview of NGS data formats
  3. Accessing NGS data using SRA tool kit
  4. Quality control (FastQC) of reads

Day 2-

  1. Processing of raw reads, adapter clipping, quality trimming
  2. Read mapping (BWA, BWA-MEM, Bowtie2) to reference sequence
  3. Mapping output (SAM/BAM format)
  4. Visualization and evaluation of mapping quality
  5. Variant Call File Format (VCF)

Day 3-

  1. Bacterial whole genome assembly using SPADES
  2. Assessment of genome assembly using BUSCO, QUAST
  3. Genome Annotation
  4. Functional annotation using EGG-NOG mapper

Fee Plan

INR 1999 /- OR USD 50

Intended For : Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals, Biotechnology Companies, Clinical Laboratories, Organizations Involved in Genomics Research or Applications

Career Supporting Skills

NGS Data Analysis Transcriptome Analysis Epigenetic Analysis Metagenomics De novo Assembly Bioinformatics Tools and Pipelines

Course Outcomes

  1. Participants will gain a comprehensive understanding of NGS data analysis and the ability to apply advanced techniques to real-world research problems.
  2. Participants will become proficient in using popular bioinformatics tools and pipelines for NGS data analysis, enabling them to conduct high-quality and reproducible analyses.
  3. Participants will gain hands-on experience in working with real-world datasets and applying NGS data analysis techniques to solve scientific questions.
  4. Participants will be able to analyze and interpret complex NGS data, including identifying genetic variants, performing differential gene expression analysis, and analyzing epigenetic modifications.
  5. Participants will develop critical thinking and problem-solving skills, enabling them to solve complex problems related to NGS data analysis and apply these skills in real-world research settings.
  6. Participants will have the opportunity to collaborate and network with instructors and other participants, enabling them to build relationships and potentially form collaborations.
  7. Participants will gain a valuable skill set that can be applied in a range of research and industry settings, including genomics research, biotechnology, pharmaceuticals, and more.