Workshop on Bioinformatics and NGS Data Analysis

Workshop on Bioinformatics and NGS Data Analysis

Date-18-21 August, 2020

Training Location
Virtual Workshop
Time: 1:30-4:30PM

Convener
Dr.C.N.Prashantha
Assistant Professor
Department of Biotechnology, 
School of Applied Sciences, 
REVA University, Bangalore-560064

COURSE OBJECTIVE

The purpose of this workshop is to get a deeper understanding in Next-Generation Sequencing (NGS) and computational drug discovery with a special focus on bioinformatics issues. Advantages and disadvantages of current sequencing technologies and their implications on data analysis will be discovered. You will be trained on understanding basic bioinformatics tools, software’s and databases, NGS data formats and handling potential problems/errors therein. In the course we will use a real-life RNA-seq dataset from the current market leader Illumina. The workshop will provide hands on experience in implementing various optimization techniques, developing statistical tools for analyzing biological data, and using public biological databases. Most (but not all) projects have both research and implementation aspects. We offer projects in various current subjects in computational biology, including analysis of gene expression data and DNA microarrays, analysis of gene structure, understanding genomic pathways, construction of phylogenetic trees and networks, etc.

 Dr.C.N.Prashantha Assistant Professor, Department of Biotechnology, School of Applied Science, REVA University. He had rich experience on Next Generation sequencing and data analysis of more than 12 years. He is providing hands on training on Bioinformatics and NGS data analysis such as RNA-seq, ChIP-Seq, Exome-Seq, Whole-Genome Sequencing etc.

 Topics Covered in the training

• About the workshop and Welcome Address
• Introduction on Bioinformatics tools, software’s and Databases
• Sequence analysis (Theory & Practical)
• Phylogenetic Analysis using MEGA Software (Theory & Practical)
• Protein structure prediction & Homology Modeling
• Chemical structure design and physicochemical property prediction
• Pharmacophore & Pharmacokinetic Analysis
• Next Generation Sequencing and Their applications
• Sequencing Platforms and library preparation methods
• Command line options, Sequence quality analysis, alignment and differential expressions using Galaxy

 Programming Skills

• Bioinformatics tools such as BLAST, FASTA, CLUSTAL OMEGA
• PROSITE, Pfam, Interproscan
• Python, Pymol
• R Programming

 Program Outcomes

• Students can understand the Bioinformatics and NGS basic techniques
• Successfully can work with Computational drug discovery methods and softwares
• Successfully can work with NGS data analysis concepts.