Multi-Omics Integration with Glycomics — Hands-on

Learn how to combine glycomics with other omics and clinical data for systems-level insights. This module covers glycan feature engineering, linking glycan profiles to proteomics, transcriptomics and metadata, and applying multivariate, network and pathway approaches to build integrated glyco-centric models and hypotheses.

Multi-Omics Integration with Glycomics

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Session Index

Session 1 — Glycomics Features & Data Structures Session 2 — Linking Glycomics with Proteomics & Transcriptomics Session 3 — Integration, Networks & Pathways Session 4 — Mini Capstone: Multi-Omics Glyco Integration

Session 1

Fee: Rs 8800

Glycomics Features & Data Structures

Glycomics data types and feature levels

released glycans and glycoforms glycopeptides and site level features trait style summaries (sialylation, fucosylation)

Tidy representations of glycomics matrices

sample × feature tables long vs wide formats linking IDs and metadata fields

Preprocessing and harmonization before integration

normalization and scaling of glycan features batch correction basics handling missingness and detection limits

Session 2

Fee: Rs 11800

Linking Glycomics with Proteomics & Transcriptomics

Joining glycomics, proteomics and expression data

sample ID mapping and QC protein centric vs sample centric joins gene/protein/glycan identifier mapping

Relating glycan traits to protein and gene features

correlation and association analyses linking to glycosyltransferase expression connecting to pathway and ontology terms

Integrating clinical covariates and phenotypes

binary and continuous outcomes adjusting for age, sex and BMI stratified analyses and subgroup views

Session 3

Fee: Rs 14800

Integration, Networks & Pathways

Multivariate and machine learning integration approaches

PCA and PLS-based integration sparse models and feature selection simple predictive models using glycan traits

Network and correlation views around glycan features

co variation networks of glycans and proteins hub features and communities overlaying clinical phenotypes

Pathway and ontology enrichment around glycan signatures

linking to glycosylation and metabolic pathways using Reactome/KEGG style resources summarizing integrated biological stories

Session 4

Fee: Rs 18800

Mini Capstone: Multi-Omics Glyco Integration

Working with a small glycomics + proteomics/transcriptomics dataset

Theory plus Practical

Building an integrated feature set and simple model

joining matrices and harmonizing scales selecting key glycan and non glycan features basic clustering or classification workflow

Deliverables: integrated table, plots and biological summary

CSV or XLSX integrated feature matrix ordination/network/pathway style plots short PDF or PPTX narrative of findings

PDF

Multi-Omics Integration with Glycomics Training | Glycan Traits, Networks & Pathways

Multi-Omics Integration with Glycomics — Hands-on