NOODAI: a webserver for network-oriented multi-omics data analysis and integration pipeline
Tiberiu Totu, Rafael Riudavets Puig, Lukas Jonathan Häuser, Mattia Tomasoni, Hella Anna Bolck, Marija Buljan

TL;DR
NOODAI is a web-based tool that integrates multiple omics data to identify key biological networks and modules relevant to diseases.
Contribution
NOODAI introduces a network-oriented pipeline for multi-omics integration using MONET to highlight disease-relevant modules.
Findings
NOODAI constructs joint interaction networks from omics data using known biological interactions.
The platform identifies central elements and functionally connected modules relevant to studied phenotypes.
NOODAI provides user-friendly analysis with visual summaries and reports for clinical multi-omics datasets.
Abstract
Omics profiling has proven of great use for unbiased and comprehensive identification of key features that define biological phenotypes and underlie medical conditions. While each omics profile assists characterization of specific molecular components relevant for the studied phenotype, their joint evaluation can offer deeper insights into the overall mechanistic functioning of biological systems. Here, we introduce an approach where, starting from representative traits (e.g. differentially expressed elements) obtained for each omics profile, we construct and analyze joint interaction networks. The resulting networks rely on the existing knowledge of confident interactions among biological entities. We use these maps to identify and describe central elements, which connect multiple entities characteristic of the studied phenotypes and we leverage MONET network decomposition tool in…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsBioinformatics and Genomic Networks · Microbial Metabolic Engineering and Bioproduction · Gene expression and cancer classification
