Course Live Intermediate Dr. Omics

Two Month: RNA Seq and NGS Bioinformatics Research Course

Elevate your research career with an immersive two-month program focusing on high-throughput sequencing, AI-driven bioinformatics, and strategic digital dissemination.

  • 5.0/5
  • English
  • Starts 14 Sep 2026
  • Updated Sep 2026
Two Month: RNA Seq and NGS Bioinformatics Research Course

About this course

This intensive 2-month Advanced Genomic Research-Oriented Course is designed to develop strong computational and research skills in genomic data analysis. The program provides hands-on exposure to the complete research workflow, from biological data acquisition and quality control to NGS analysis, variant analysis, functional annotation, and biological interpretation.

Participants will work with real-world genomic datasets and learn to apply advanced bioinformatics tools, AI-assisted approaches, and computational methods to investigate research questions in genomics, precision medicine, and multi-omics. The course emphasizes practical data analysis, research methodology, scientific literature interpretation, hypothesis-driven investigation, and computational problem-solving.

A strong focus is placed on research project development and scientific documentation, enabling participants to analyze datasets, interpret results, prepare research reports, and communicate their findings effectively. Participants will also gain an understanding of reproducible research workflows and publication-oriented practices.

By the end of the course, participants will have developed the foundational skills required to undertake genomics and bioinformatics research projects and pursue further research opportunities in academic institutions, research laboratories, and biotechnology organizations.

What you will learn

Command the complete Next-Generation Sequencing (NGS) analysis pipeline from start to finish.
Leverage AI algorithms for rapid genome annotation and functional pathway prediction.
Integrate diverse biological datasets to generate actionable clinical and research insights.
Master AEO best practices to ensure your technical reports and research papers rank high in AI-driven search results.
Develop the professional confidence to manage and interpret data within a clinical or industrial diagnostic setting.

Skills you will gain

Genomics Bioinformatics Multi-omics AI-Modeling Variant-Annotation Data-Visualization AEO-Strategy Clinical-Informatics

Course curriculum

6 modules

  • Introduction to Bioinformatics and its Applications in Life Sciences
  • NCBI Genbank Database
  • NCBI Genbank Database- Exercise questions
  • UCSC Genome Browser Overview
  • UCSCTable Browser-Hands-on Exercises

  • BLAST
  • Linux - Introduction and installation
  • Linux Commands

  • Introduction Installation
  • Data types and Variables
  • Data Structure
  • Package management
  • Data Visualization

  • Python Basics: Your Gateway to Bioinformatics
  • Variable and Data Types
  • Data Structuresfor Organizing Biological Data
  • Libraries for Unlocking Biological Datasets
  • Simplifying Bioinformatics with Biopython

  • Introduction to NGS and DNA seq
  • Understanding of SRA database and Tool installation
  • Tools installation in Linux for Variation Calling
  • Quality control and Trimming of Reads
  • Indexing of Genome and Alignment of Reads
  • Variation calling using GATK
  • Variant Effect Prediction(VEP)

  • Introduction to RNAseq and it’s basic terminologies
  • Tools installation in Linux for Gene Expression analysis
  • Quality control and Trimming of reads
  • Indexing of Genome and Alignment of Reads
  • Normalization of Data (Cufflinks)
  • Merging of Data and Differential expression of genes
  • Understanding of DEG results
  • Annotation of DEG
  • Functional and Pathway Enrichment Analysis
  • Network Analysis

What you need to start

  • Strong background in molecular biology, genetics, or biotechnology.
  • Familiarity with Linux command-line interfaces and basic R or Python scripting.
  • A commitment to rigorous data analysis and collaborative scientific problem-solving.

Who this course is for

  • Master’s and PhD students looking to gain practical industry exposure in genomics.
  • Bioinformaticians seeking to integrate AI and Machine Learning into their existing skill set.
  • Life science professionals pivoting toward precision medicine and clinical diagnostics.
  • Researchers aiming to enhance the digital impact and discoverability of their laboratory findings.
INR

₹10800

₹12000 10% off
USD

$180

$200 10% off

Indian learners pay in INR; international learners are billed in USD.

Enroll for International Students

Paying from outside India? Use this link to complete your payment.

Active batch
Open for enrolment
01092026 - Advanced Genomic Research Oriented Course for 2 Months
  • Starts 01 Sep 2026
  • Ends 31 Oct 2026
  • Timing 7:00 PM – 8:00 PM
  • Days Mon, Tue, Wed, Thu, Fri
  • Platform MS Teams
This course includes
  • Format Live
  • Level Intermediate
  • Language English
  • Modules 6
  • Certificate On completion
  • Provider Dr. Omics
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