Next-Generation Sequencing (NGS)

About Course

In this course, Unix is introduced to students as one of the most convenient tools for dealing with big data in the life sciences, including next-generation sequencing (NGS). NGS technologies produce enormous amounts of data each run that are difficult to cope with using GUI based tools, and raw files are difficult to open either. For this reason, sequencing data are produced and stored as text files so that they may be processed and handled easily. People who are skilled in bioinformatics know very well how to analyze data with PERL/Python programming language. This is very convenient, easy, and saves a lot of time.

What Will You Learn?

  • Flexible deadlines
  • Shareable certificate
  • 100% online
  • Advanced Level
  • Approx. 20 hours to complete

Course Content

Introduction to nucleic acid sequencing

How to sequence: First generation sequencing

Work flow of NGS

Techniques Of Post-Sequencing Data Analysis: Quality Control And Pre-Processing

Computing Needs For NGS Data Management And Analysis

Transcriptomic Analysis and Splicing Variants Detection By RNA-Seq

Small RNA Sequencing

Genomic Variation Discovery By Whole Genome Resequencing

Mapping Protein-DNA Interactions With ChIP-Seq

Epigenomics and DNA Methylation Analysis By NGS

Evolution and Growth Of Bioinformatics Tools

Final conclusion