Next Generation Sequence Data Analysis Bootcamp

This course introduces protocols, necessary tools and programming techniques to handle — NGS data analysis. Theoretical background, underlying concepts behind every tool and methods will be explained along with procedural steps to get desired results from complex data types. Hands on with real word data facilitated by a team of Bioinformatics experts.


  • 1.

    Day 1: Linux workstation setup and basics. Most Bioinformatics tools and server environments are running in Linux. It will be extremely useful to get yourself familiar with Linux and command line tools.
  • 2.

    Day 1: Python basics. Due to it’s simple syntax and vast range of available modules, python is one of the most preferred languages in the Bioinformatics world.
  • 3.

    Day 1: R / Bioconductor basics. Most next generation sequencing platforms offer direct support via R modules. Data frames, annotations, package management.
  • 4.

    Day 2: RNA-seq expression analysis. Theoretical background, data preparations, statistical guidelines and visualization techniques using DESeq2.
  • 5.

    Day 3: WES Analysis. Theoretical background, reads preprocessing, alignment, post-processing, variant calling, SNV and Indel reporting.
  • 6.

    Day 4: WGS Analysis. Theoretical background, read quality assessment, alignment, variant calling, genome assembly, genome annotation, downstream analysis.
  • 7.

    Day 5: Visualization Techniques. Create complex heatmaps, integrative analysis reports, statistical visualizations, image readability and publication readiness.


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