NGS INTERNSHIP ( 4 MONTHS )

The 4-month NGS Research-Oriented Course offers comprehensive training in Next-Generation Sequencing and bioinformatics, including Linux, Python, R, RNA-seq & DNA-seq data analysis, and practical research skills. It also includes a hands-on research project to deepen your expertise and boost your career in genomics.

Course Live Advanced Dr. Omics
Language English
Level Advanced
Updated Feb 2026
NGS INTERNSHIP ( 4 MONTHS )

Course Description

Foundations of Bioinformatics: Explore key databases and tools like GenBank, PubMed, BLAST, and Mega, bridging biotechnology with bioinformatics.
Next Generation Sequencing (NGS): Understand the role of bioinformatics in NGS, covering techniques, applications, and platforms, along with Linux basics.
Python Programming: Master Python essentials for bioinformatics, including data types, control statements, and file handling, followed by an introduction to Biopython.
R Programming and Bioconductor: Learn R programming fundamentals and its significance in bioinformatics, with a focus on Bioconductor for sequence analysis and visualization.
RNA Sequencing (RNA Seq): Gain proficiency in RNA Seq data analysis techniques, from data retrieval and quality check to mapping reads and pathway analysis.
DNA Sequencing (DNA Seq): Acquire skills in DNA Seq data analysis, covering variant calling, annotation, and visualization, alongside RNA Seq analysis.
One-Month NGS Research Project: Apply acquired skills in a practical setting, conducting research in next-generation sequencing, variant detection, and pathway analysis.
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

Comprehensive Understanding: Master bioinformatics fundamentals, databases, and tools for biotechnology applications.

Proficiency in NGS: Excel in NGS techniques, platforms, and data analysis, complemented by Linux skills.

Programming Mastery: Achieve expertise in Python and R programming tailored for bioinformatics.

Bioconductor Expertise: Harness Bioconductor for sequence analysis, visualization, and statistical studies.

RNA and DNA Seq Analysis: Develop practical skills in RNA Seq and DNA Seq data analysis, including variant calling.

Real-world Application: Apply skills in a one-month NGS research project, gaining hands-on experience in variant detection and pathway analysis.

Curriculum

  • M1T1 = Introduction to Bioinformatics
    Lesson
  • M1T2 = NCBI Database Overview
    Lesson
  • M1T3 = Genbank Database Practical Exercises
    Lesson
  • M1T4 = UCSC Genome Browser Overview
    Lesson
  • M1T5 = UCSC Genome Browser Hands-on Exercises
    Lesson
  • M1T6 = Pubmed Database Introduction
    Lesson
  • M1T7 = Clinvar Database Overview
    Lesson
  • M1T8 = KEGG Database Overview and Exercises
    Lesson
  • M1T9 = Protein Databases (UniProt)
    Lesson
  • M1T10 = Protein Databases (PDB)
    Lesson
  • M1T11 = Online BLAST Introduction and Exercises
    Lesson
  • M1T12 = Standalone BLAST Setup and Exercises
    Lesson
  • M1T13 = Standalone BLAST Advanced Exercises
    Lesson
  • M1T14 = Multiple Sequence Alignment with ClustalW
    Lesson
  • M1T15 = Multiple Sequence Alignment with MEGA
    Lesson

  • M2T1 = Overview and Installation of Linux
    Lesson
  • M2T2 = Basic Linux Commands
    Lesson
  • M2T3 = Advanced Linux Commands
    Lesson
  • M2T4 = Package Management using Repository
    Lesson
  • M2T5 = Package Management using Source Code
    Lesson

  • M3T1 = Introduction to Python
    Lesson
  • M3T2= Data Types
    Lesson
  • M3T3= String Handling
    Lesson
  • M3T4= Data Structure
    Lesson
  • M3T5=Control Structure
    Lesson
  • M3T6 = Function
    Lesson
  • M3T7= File Handling
    Lesson
  • M3T8= Data Manipulation
    Lesson
  • M3T9= Data Visualization
    Lesson
  • M3T10= Biopython
    Lesson

  • M4T1 = Introduction and Installation of R
    Lesson
  • M4T2= Data Types in R
    Lesson
  • M4T3= Data Structure
    Lesson
  • M4T4= File Handling
    Lesson
  • M4T5=Control Structure
    Lesson
  • M4T6 = Function
    Lesson
  • M4T7= Package Management
    Lesson
  • M4T8= Data Manipulation
    Lesson
  • M4T9= Data Visualization
    Lesson
  • M4T10= Statistical Analysis
    Lesson

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

  • M6T1= Introduction to NGS and DNAseq
    Lesson
  • M6T2= Basic Terminologies in NGS
    Lesson
  • M6T3= Understanding of SRA database
    Lesson
  • M6T4= Tools installation in Linux for Variation Calling
    Lesson
  • M6T5= Quality control
    Lesson
  • M6T6= Trimming of Reads
    Lesson
  • M6T7= Indexing of Genome and Alignment of Reads
    Lesson
  • M6T8= Variation calling using GATK
    Lesson
  • M6T9= Variant Effect Prediction(VEP)
    Lesson
  • M6T10= Variation Visualization (IGV)
    Lesson

  • M7T1=Introduction to RNAseq and it’s basic terminologies
    Lesson
  • M7T2=Tools installation in Linux for Gene Expression analysis
    Lesson
  • M7T3=Quality control and Trimming of reads
    Lesson
  • M7T4=Indexing of Genome and Alignment of Reads
    Lesson
  • M7T5=Normalization of Data (Cufflinks)
    Lesson
  • M7T6=Merging of Data and Differential expression of genes
    Lesson
  • M7T7=Understanding of DEG results
    Lesson
  • M7T8=Annotation of DEG
    Lesson
  • M7T9=Functional and Pathway Enrichment Analysis
    Lesson
  • M7T10=Network Analysis
    Lesson

  • M8T1= Tools installation for De-novo RNAseq
    Lesson
  • M8T2= Tools installation for De-novo RNAseq
    Lesson
  • M8T3= Data downlading and Quality control
    Lesson
  • M8T4= Assembly Creation
    Lesson
  • M8T5= Abundance count estimation
    Lesson
  • M8T6= Generation of count matrix and DEG
    Lesson
  • M8T7= BLAST
    Lesson
  • M8T8= Understanding the DEG results
    Lesson
  • M8T9= Annotation of DEGs
    Lesson
  • M8T10= Encrichment Analysis
    Lesson

  • "M9T1= Introduction to metagenomics
    Lesson
  • "
    Lesson
  • M9T2= Tools installation for metagenomics
    Lesson
  • M9T3= Data Downloading
    Lesson
  • M9T4= Quality control & Trimming
    Lesson
  • M9T5= Data importing in Qimme2
    Lesson
  • M9T6= Data quality check using DADA2
    Lesson
  • M9T7= Phylogentic Analysis
    Lesson
  • M9T8= Taxonomy Analysis
    Lesson
  • M9T9= Krona Plot
    Lesson
  • M9T0= Phylogenetic tree construction
    Lesson

  • M10T1= Introduction to MIcroarray
    Lesson
  • M10T2= Introduction to Microarray
    Lesson
  • M10T3= Data Downloading
    Lesson
  • M10T4= Microarray Pipeline upto Normalization
    Lesson
  • M10T5= Microarray Pipeline till DEG
    Lesson
  • M10T6= Annotation of DEG
    Lesson
  • M10T7= Encrichment Analysis
    Lesson
  • M10T8= Network Analysis
    Lesson
  • M10T9= Volcano Plot
    Lesson
  • M10T10= Heatmap
    Lesson
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