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DSTC-BIOINF-2608 Open Online Advanced / Post-Graduate 3 Days · Live + Recorded

Python/R for Bioinformatics: Genomics, Transcriptomics & Proteomics Data Analysis

by - DSTC

A hands-on programming bootcamp for end-to-end omics data analysis in Python and R.

Starting from ₹1,799+GST

Register Now

Core Parameters

Level:
Advanced / Post-Graduate
Duration / Workload:
3 Days · Live + Recorded (12 Hrs Total)
Venue Mode:
Online
Prerequisites:
PhD candidates, postdoctoral researchers, academic faculty, and industry R&D teams.

📅 Important Schedule Dates (Tentative)

Session Commencement (Tentative):
08 Aug 2026 · 6:00 PM IST
Session Conclusion (Tentative):
10 Aug 2026 · 6:00 PM IST
Enrollment Deadline (Tentative):
07 Aug 2026
Schedule Note: This schedule is tentative and subject to minor adjustments. Once the program registrations go live, all finalized dates and times will be sent to registered interest leads.

🎯 Program Aim

This workshop builds practical Python and R programming fluency for analyzing genomics, transcriptomics and proteomics data, from raw files to publication-quality figures.

📋 Workshop Objectives

Manipulate biological data with pandas and tidyverse
Run alignment and variant-calling workflows
Perform differential expression with DESeq2/edgeR
Analyze proteomics abundance matrices
Produce reproducible, publication-ready visualizations

👥 Who Should Enroll?

Life-science students new to programming
Wet-lab researchers moving to dry-lab analysis
MSc/PhD scholars in molecular biology
Core-facility bioinformatics staff

🚀 Key Learning Outcomes

Working Python + R analysis scripts
Confidence with DESeq2 / edgeR / Bioconductor
A reproducible RNA-seq analysis notebook
Verified e-Certificate of Industrial Competency

💎 What You'll Gain from this Program

🎥
Live & Recorded Sessions
Lifetime access to class recordings
🎓
e-Certificate upon Completion
Cryptographically verified credentials
💬
Post-Workshop Query Support
Direct chat access to mentors & council
💻
Hands-On Learning Experience
Step-by-step Jupyter notebooks & code

Curriculum Outline

Day 1 Genomics

Sequences & Variants

FASTQ/BAM handling, alignment, and variant calling; scripting with Biopython and data wrangling.

Day 2 Transcriptomics

Differential Expression

RNA-seq quantification, DESeq2/edgeR, normalization and volcano/MA plots in R.

Day 3 Proteomics

Abundance & Enrichment

Proteomics matrix analysis, statistical testing, and GO/KEGG enrichment visualization.

A hands-on programming bootcamp for end-to-end omics data analysis in Python and R.

This workshop builds practical Python and R programming fluency for analyzing genomics, transcriptomics and proteomics data, from raw files to publication-quality figures.

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Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.

The proforma invoice is emailed here as well as to you.
📄 Upload Sponsorship Slip / Letter

Signed letter on official letterhead, or the bank transfer slip. PDF/JPG/PNG, up to 5 MB.

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