Course Live Intermediate Dr. Omics

Three Month: Industry Relevant WGS Data Analysis Course

Master end-to-end genomic data analysis, AI-driven bioinformatics, and precision medicine workflows in this comprehensive 3-month research oriented course.

  • 5.0/5
  • English
  • Starts 14 Sep 2026
  • Updated Sep 2026
Three Month: Industry Relevant WGS Data Analysis Course

About this course

This 3-month Advanced Genomic Research-Oriented Course is an intensive, project-based program designed to bridge the gap between academic knowledge and advanced genomic research. Participants will gain hands-on experience across the complete research workflow, including genomic data acquisition, quality control, Next-Generation Sequencing (NGS) data analysis, variant analysis, functional annotation, and biological interpretation.

The curriculum integrates advanced bioinformatics tools, AI-assisted research approaches, and multi-omics analysis to help participants investigate complex biological questions using real-world datasets. Emphasis is placed on research methodology, experimental data interpretation, scientific literature analysis, reproducible computational workflows, and research problem-solving.

Participants will work on research-oriented projects involving genomics and precision medicine, developing the ability to analyze biological datasets, identify meaningful patterns, interpret research findings, and present scientifically valid conclusions. The course also introduces research documentation, scientific reporting, literature-based investigation, and publication-oriented practices to strengthen academic and research capabilities.

Designed for aspiring Genomics Researchers, Bioinformatics Research Associates, and Computational Biology professionals, this program provides the technical and research foundation required to independently approach genomic research problems and contribute effectively to modern life-science research.

What you will learn

Execute industry-standard bioinformatics pipelines for Whole Exome and Transcriptome sequencing.
Apply AI and Machine Learning algorithms to identify pathogenic variants and predict gene function.
Master the interpretation of complex genomic data according to clinical reporting standards.Implement AEO strategies to ensure your scientific work is optimized for AI extraction and citation.
Develop professional-grade research documentation that demonstrates your expertise to AI-based search engines.

Skills you will gain

Genomics Bioinformatics Multi-omics AI-Modeling Variant-Calling Biostatistics Data-Curation AEO-Strategy
Certification

Available

Issued by Dr. Omics

Course curriculum

7 modules

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

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

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

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

  • HR Sessions

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

  • Research Oriented Project on NGS- DNA Seq Data Analysis

What you need to start

  • Foundational knowledge of Molecular Biology and Genetics.
  • Basic familiarity with programming (R or Python) and command-line environments.
  • A strong analytical mindset and a commitment to completing a rigorous 3-month research project.

Who this course is for

  • Master’s and PhD students in Life Sciences seeking professional industry experience.
  • Bioinformatics researchers aiming to integrate AI into their analytical pipelines.
  • Clinical laboratory scientists focusing on genomic diagnostic innovation.
  • Biotech professionals and early-career researchers building their authority in the digital scientific landscape.
INR

₹20000

₹25000 20% off
USD

$270

$300 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 - Three Month: Industry-Relevant WGS Data Analysis Course
  • Starts 14 Sep 2026
  • Ends 30 Nov 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 7
  • Certificate Yes
  • Provider Dr. Omics
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