NGS INTERNSHIP ( 2 MONTHS )

The 2-month NGS Internship offers hands-on training in Next-Generation Sequencing data analysis, covering core bioinformatics skills like Python, R, Biopython, and NGS-DNA sequencing workflows. Participants also develop practical expertise through projects and career readiness sessions, earning a certificate upon completion

Course Live Intermediate Dr. Omics
Language English
Level Intermediate
Updated Jan 2026
NGS INTERNSHIP ( 2 MONTHS )

Course Description

Foundational Bioinformatics: Explore essential concepts in genomic bioinformatics, Linux operations, and cloud technology, laying the groundwork for further study.
Python Mastery: Master Python programming from basics to advanced topics crucial for bioinformatics applications.
Biopython and NGS Analysis: Dive into Biopython for sequence manipulation and leverage its capabilities for NGS data analysis.
R Programming Fundamentals: Learn essential R programming skills and discover its application in various bioinformatics tasks.
Introduction to Bioconductor: Familiarize yourself with Bioconductor for sequence analysis and effective data visualization in genomics.
NGS-DNA Seq Analysis: Delve into DNA Seq data analysis techniques, including data retrieval, read mapping, and variant detection, to uncover insights from genomic data.
HR Session: Develop soft skills and prepare for career advancement through HR sessions covering resume building, interview skills, and professional networking.

What You'll Learn

Gain foundational knowledge in bioinformatics and DNA Seq data analysis.

Master Python for bioinformatics applications.

Utilize Biopython effectively for biological sequence manipulation.

Acquire R skills for statistical analysis in bioinformatics.

Grasp the role of Bioconductor in genomic data analysis.

Curriculum

  • Topic 1 = Introduction and Installation of R
    Lesson
  • Topic 2 = Data Types in R
    Lesson
  • Topic 3 = Data Structure
    Lesson
  • Topic 4 = File Handling
    Lesson
  • Topic 5 =Control Structure
    Lesson
  • Topic 6 = Function
    Lesson
  • Topic 7 = Package Management
    Lesson
  • Topic 8 = Data Manipulation
    Lesson
  • Topic 9 = Data Visualization
    Lesson
  • Topic 10 = Statistical Analysis
    Lesson

  • Day 1
    Lesson
  • Day 2
    Lesson
  • Day 3
    Lesson
  • Day 4
    Lesson
  • Day 5
    Lesson

  • T1= Introduction to NGS and DNAseq
    Lesson
  • T2= Basic Terminologies in NGS
    Lesson
  • T3= Understanding of SRA database
    Lesson
  • T4= Tools installation in Linux for Variation Calling
    Lesson
  • T5= Quality control
    Lesson
  • T6= Trimming of Reads
    Lesson
  • T7= Indexing of Genome and Alignment of Reads
    Lesson
  • T8= Variation calling using GATK
    Lesson
  • T9= Variant Effect Prediction(VEP)
    Lesson
  • T10= Variation Visualization (IGV)
    Lesson
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