About
Next-Generation Sequencing (NGS) has revolutionized the field of genomics by enabling the rapid sequencing of entire genomes and transcriptomes. This program offers an in-depth exploration of NGS data analysis using the Galaxy platform, a powerful and user-friendly web-based tool. Participants will learn to navigate the Galaxy interface, perform quality control, align sequences, and interpret results. The course is designed to provide both theoretical knowledge and hands-on experience, ensuring that participants can confidently apply these techniques in real-world research settings.
Galaxy is an open-source platform that simplifies complex bioinformatics workflows, making it accessible to researchers without extensive programming skills. Throughout the program, participants will engage in practical exercises and projects that simulate actual research scenarios. By the end of the program, they will be equipped with the skills necessary to process and analyze NGS data, contributing to advancements in genomics, personalized medicine, and other cutting-edge fields.
Aim
The aim of the Next-Generation Sequencing Data Analysis using the Galaxy Platform program is to empower researchers and bioinformatics professionals with the knowledge and skills required to effectively analyze next-generation sequencing (NGS) data using the Galaxy bioinformatics platform. Through comprehensive training modules and hands-on workshops, the program aims to familiarize participants with Galaxy’s user-friendly interface, diverse toolset, and workflow capabilities for processing, analyzing, and interpreting NGS data. By providing practical training in data preprocessing, alignment, variant calling, and downstream analysis, the program enables participants to harness the power of Galaxy for genomics research, personalized medicine, and other applications in the life sciences.
Program Objectives
- Understand the principles and concepts of NGS data analysis.
- Familiarize participants with the Galaxy Platform and its tools for NGS data analysis.
- Gain hands-on experience in executing NGS data analysis workflows using Galaxy.
- Learn to perform quality control, read mapping, variant calling, and gene expression analysis using NGS data.
- Explore pathway analysis techniques and interpret the results.
- Develop the ability to construct and customize analysis pipelines in Galaxy.
- Enhance skills in interpreting and visualizing NGS data analysis results.
- Learn best practices and optimization strategies for efficient NGS data analysis.
Program Structure
Module 1
Introduction to NGS and Galaxy platform
Galaxy tools for genome assembly
Galaxy tools for genome annotation
Identification of Variants
Module 2
RNA-seq analysis using Galaxy tools
Transcriptome assembly using Galaxy tools like Hisat2 followed by Feature Count
Differential gene expression analysis using DESeq2
Students are required to have a good laptop with high-speed internet connection. They can create a user account in Galaxy portal (https://usegalaxy.org) using their academic email ID.
Participant’s Eligibility
- Biology, Biotechnology, Bioinformatics, Genetics, Genomics, Medical Sciences, and related fields.
Program Outcomes
- Proficiency in NGS data analysis techniques using the Galaxy Platform.
- Improved understanding of bioinformatics principles and their application to NGS data analysis.
- Ability to navigate and utilize the Galaxy Platform for NGS data analysis workflows.
- Enhanced skills in quality control, read mapping, variant calling, and gene expression analysis using NGS data.
- Knowledge of pathway analysis techniques and interpretation of pathway analysis results.
- Competence in constructing and customizing analysis pipelines in the Galaxy Platform.
- Proficiency in interpreting and visualizing NGS data analysis results.
- Understanding of statistical analysis methods commonly used in NGS data analysis.
- Familiarity with functional annotation and enrichment analysis of NGS data.
- Development of troubleshooting skills to identify and resolve issues in NGS data analysis workflows.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet







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