Programme Parameters
Graduate / Intermediate
1 Day (1.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Bioinformatics plays a crucial role in modern genomic research, helping scientists decode complex biological data to understand genetic variations, disease mechanisms, and drug responses. This course will provide participants with an in-depth understanding of bioinformatics tools for genomic analysis, covering fundamental concepts, sequence alignment, genome annotation, and visualization techniques. By integrating theoretical knowledge with hands-on training, attendees will gain practical experience in using tools such as BLAST, Ensembl, and UCSC Genome Browser for analyzing genomic sequences. Across 4 Weeks, you will work hands-on with fundamental concepts, sequence alignment, and genome annotation, then consolidate everything in a capstone project. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Bioinformatics plays a crucial role in modern genomic research, helping scientists decode complex biological data to understand genetic variations, disease mechanisms, and drug responses. This course will provide participants with an in-depth understanding of bioinformatics tools for genomic analysis, covering fundamental concepts, sequence alignment, genome annotation, and visualization techniques. By integrating theoretical knowledge with hands-on training, attendees will gain practical experience in using tools such as BLAST, Ensembl, and UCSC Genome Browser for analyzing genomic sequences.
📋 Course Objectives
1. Master the fundamentals of fundamental concepts.
2. Get comfortable working with sequence alignment.
3. Build practical fluency in genome annotation.
4. Translate bioinformatics theory into practical, reproducible analysis.
5. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in bioinformatics
• R&D engineers and working professionals applying bioinformatics in industry
• Academics and educators building research or teaching capacity in bioinformatics
• Data and computational scientists moving into fundamental concepts
🚀 Key Learning Outcomes
• Confidence to reason about fundamental concepts in real projects.
• Confidence to apply sequence alignment in real projects.
• Confidence to implement genome annotation in real projects.
• A portfolio-grade bioinformatics deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Where Genomic Data Lives
• NCBI, Ensembl and UCSC and the differences in their annotation
• Genome builds, coordinate systems and the off-by-one that breaks analyses
• Accession types and retrieving data reproducibly rather than by download button
Searching and Comparing Sequences
• BLAST variants, E-value interpretation and scoring matrix choice
• Multiple sequence alignment with MUSCLE or MAFFT and manual inspection
• Homology, orthology and paralogy — the distinction most reports get wrong
Reading a Genome Visually
• UCSC Genome Browser tracks, custom tracks and the Table Browser
• Ensembl gene views, regulatory features and comparative genomics
• IGV for inspecting alignments before trusting any variant call
Making Sense of Regions
• Gene structure, transcript isoforms and the meaning of a canonical transcript
• Variant annotation with VEP and interpreting consequence terms
• Functional annotation with GO and KEGG and the correct background set
Working Reproducibly
• File formats — FASTA, FASTQ, SAM/BAM, VCF, BED — and their pitfalls
• Command line basics and scripting instead of repeated web submissions
• Recording versions and parameters so an analysis can be repeated
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | R/Bioconductor |
| Covered Tool / Platform | BLAST |
| Covered Tool / Platform | Biopython |
| Covered Tool / Platform | Galaxy |
| Covered Tool / Platform | UniProt |
| Covered Tool / Platform | NCBI |
| Covered Tool / Platform | PyMOL |
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