NGS Data Analysis

Training Program on Genomic Data Analytics.

(Genomic Big Data Analytics)/ Duration: 3 Months

3 Months intensive program, Genomic Big Data Analytics will include in-depth training and exposure to the aspects of basic and applied Genomics, Statistics, Data Mining, Data Visualization, Data Management, Data Analytics and Critical Thinking.

What Will You Learn ?

Introduction to NGS Technology

NGS Platforms (Opportunities and Limitations), NGS Applications (Case Studies), Planning an effective NGS experiment by efficiently choosing the right technology, throughput and read length.

Understand your tools

Practical application of various algorithms and tools employed for NGS data analysis with key focus on applying the right parameter for the right kind of data set.

Design your own pipeline

You will learn to evaluate and operate with the right combination of tools to develop a customized workflow / pipeline towards obtaining best analysis results for specific application (Eg. RNA-Seq,Metagenome, ChIP-Seq, Exome-Seq, etc.)

Analyze – Interpret - Report

Pre-published data will be taken up of the project with an objective to apply your learning to the real data-set. You will understand the research focus, make customized pipeline with right tools, Interpret the analyzed results based on your understanding of the author’s discussion and submit the findings as a final report.

Course 1:

De Novo DNA-Seq & RNA-Seq Data Analytics

MODULE: 1. Basics of Sequencing & Linux Programming

Past, Present & Future of Sequencing
Introduction to NGS Platforms
Introduction to Linux Operating System
Linux Computing Environment, File Processing & Remote Computing
Introduction to various Biological Databases & File Formats
Understanding NGS Raw Data & Various Quality Control Measures
NGS Raw Data Quality Control Practical

MODULE:2. DNA De Novo Data Analytics

Experimental Designs & Sequencing Strategies
DNA Sequence Assembly Algorithms & Analytical Designs:Pros & Cons
De Novo Genome Assembly Practical
Scaffolding & Draft Genome Construction
Coding Gene Prediction, Annotation & Functional Classification
Identification & Characterization of Other Genomic Elements (Repetitive
Elements, Non-Coding Genes & Micro-satellites)

MODULE:3. De Novo RNA-Seq Data Analytics

Experimental Designs & Sequencing Strategies
RNA Sequence Assembly Algorithms & Analytical Designs: Pros & Cons
De Novo RNA Assembly Practical
Qualitative Identification of Expressed Transcripts & Insilico Validation
Annotation & Functional Classification of Expressed Transcripts
Quantitative & Differential Expression Profiling
Significant Biology Interpretations

MODULE:4. Case studies/ Analyze your data

Fees: 45000/-

Course 2:

Exome-Seq & RNA Re-sequencing Data Analytics

MODULE:1– Basics of Sequencing & Linux Computing

Past, Present & Future of Sequencing
Introduction to NGS Platforms
Introduction to Linux Operating System
Linux Computing Environment, File Processing & Remote Computing
Introduction to various Biological Databases & File Formats
Understanding NGS Raw Data & Various Quality Control Measures
NGS Raw Data Quality Control Practical

MODULE:2– Exome-Seq Data Analytics

Experimental Designs & Sequencing Strategies
DNA Sequence Alignments Algorithms & Analytical Designs:Pros& Cons
Exome Alignment Practical
Alignment Quality Control
Genetic Variation Identification, Classification & Impact Analysis
Structural Variation Identification, Classification & Impact Analysis

MODULE:3– RNA Re-sequencing Data Analytics

Experimental Designs & Sequencing Strategies
Splice-Aware Alignment Algorithms & Analytical Designs: Pros & Cons
RNA Re-Sequencing Practical
Qualitative Identification of Expressed Transcripts
Quantitative & Differential Expression Profiling
Significant Biology Interpretations

MODULE:4– Case studies/ Analyze your data

Fees: 45000/-

Google Sites

Report abuse