Multi-Omics Integration — Proteome with Transcriptome — Hands-on

Develop a strong conceptual understanding of how to integrate proteomics with transcriptomics. This module focuses on data preparation and ID mapping, normalization and scaling ideas, correlation and joint clustering concepts, and pathway based interpretation of multi-omics signatures from biological and clinical studies.

Multi-Omics Integration — Proteome with Transcriptome

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Session Index

Session 1 — Multi-Omics & Proteome–Transcriptome Foundations Session 2 — Data Preparation & ID Mapping (Concepts) Session 3 — Correlation, Clustering & Pathway Interpretation Session 4 — Mini Capstone: Proteome–Transcriptome Integration Plan

Session 1

Fee: Rs 8800

Multi-Omics & Proteome–Transcriptome Foundations

Why integrate proteomics with transcriptomics

central dogma perspective mRNA vs protein level differences complementary biological insight

Overview of data types and study designs (conceptual)

bulk RNA-seq and proteomics concepts paired samples and matched cohorts cross sectional vs longitudinal ideas

High-level strategies for multi-omics integration

early vs late integration concepts feature vs sample level integration pathway and network based integration ideas

Session 2

Fee: Rs 11800

Data Preparation & ID Mapping (Concepts)

Sample and feature alignment between omics layers

matching subjects and time points handling missing samples conceptually metadata and IDs consistency ideas

ID mapping between transcripts and proteins (high level)

gene symbol and accession concepts many to one and isoform awareness reference annotation thinking

Normalization and scaling ideas for cross-omics comparison

within-omics normalization concepts z score and rank based scaling basic batch effect awareness

Session 3

Fee: Rs 14800

Correlation, Clustering & Pathway Interpretation

Correlation concepts between mRNA and protein levels

per gene correlation ideas global vs subset patterns post translational regulation thinking

Joint clustering and sample stratification at idea level

clustering based on combined signatures subgroup and subtype concepts simple dimension reduction thinking

Pathway and network based interpretation using both layers

overlaying omics on pathways conceptually agreement vs discordance across layers highlighting key pathways and modules

Session 4

Fee: Rs 18800

Mini Capstone: Proteome–Transcriptome Integration Plan

Conceptual design of a simple proteome–transcriptome project

Theory + Practical (planning oriented)

From biological question to integration and analysis outline

defining cohorts and omics layers sketching data preparation steps deciding on basic integration and visualization ideas

Mini capstone deliverables (concept and report focused)

study design and data map outline simple correlation and pathway summary plan short narrative linking integrated results to biology

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Multi-Omics Integration — Proteome with Transcriptome Training | Concepts & Study Design

Multi-Omics Integration — Proteome with Transcriptome — Hands-on