Next Generation Sequencing

Next Generation Sequencing

Deciphering DNA sequences is essential for virtually all branches of biological research. With the advent of capillary electrophoresis (CE)-based Sanger sequencing, scientists gained the ability to elucidate genetic information from any given biological system. This technology has become widely adopted in laboratories around the world, yet has always been hampered by inherent limitations in throughput, scalability, speed, and resolution that often preclude scientists from obtaining the essential information they need for their course of study. To overcome these barriers, an entirely new technology was required—Next-Generation Sequencing (NGS), a fundamentally different approach to sequencing that triggered numerous ground-breaking discoveries and ignited a revolution in genomic science.

This course is aimed at molecular biologists who wish to gain new skills in the analysis of high-throughput DNA sequencing data. The programme will cover various databases and resources, and third-party software for the analysis, interpretation and storage of genetic sequence data. Using a combination of lectures, hands-on practical sessions and discussions with trainers, you will learn how to manipulate NGS data, analyze the results of different experiments and utilize sequence databases.

Next-generation sequencing (NGS) has significantly contributed to the transformation of genomic research, not only by decreasing the sequencing costs but also by increasing the throughput. The next goal is to exploit this powerful technology in the clinic, namely for diagnostics and therapeutics. 

This course is aimed at researchers and scientists from the NHS, academia and industry who require an introduction to next generation sequencing (NGS) technologies and to identify:

·         Identify the experimental/epidemiological designs used in Next Generation Sequencing (NGS).

·         Identify the concepts of read, pairing, alignment, indexing and Next Generation whole-genome sequencing.

·         Identify genetic variation and mutation and structural variation from an assembled data set.

·         Carry out basic de-novo assembly of NGS RNA-sequencing data.

·         Perform basic tasks for NGS assembly and analysis using the GALAXY software system.

·         Identify statistical procedures for analyzing the results of NGS assembly and data analysis (downstream analysis).

By the end of this course the participants will be able to:

• ·         Navigate the major databases needed for NGS
• ·         Understand the differences between the major nucleotide sequence databases
• ·         Browse the ENA database in detail; understand its structure and the type of data it contains.
• ·         Use techniques to generate and analyse RNA-Seq data
• ·     Comprehend the different tools involved in whole genome re-sequencing, assembly and variation calling
• ·         Utilize these tools to conduct simple re-sequencing assemblies
• ·       Understand the varied applications of NGS data analysis and how it is being used to answer interesting scientific questions

    Topics Covered

·         Introduction to next generation sequencing technologies and applications

·         Understanding the high-throughput sequencing data analysis workflow

·         Introduction to RNA-seq: expression estimation and normalisation

·         Introduction to disease gene mapping

·         Imputation and testing imputed SNPs

·         Cancer genetics and genomics: Of Mice and Men

Posted by:-Indian Biological Sciences and Research Institute, NOIDA