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Footprint-based functional analysis of multiomic data.

Aurelien Dugourd^1,2, Julio Saez-Rodriguez^1,2

¹Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute of Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany.

Current Opinion in Systems Biology

|July 21, 2020

Summary

This summary is machine-generated.

This review explores omic data analysis, focusing on "footprints" to uncover biological mechanisms. These methods integrate diverse omic data for deeper functional insights into gene regulation and metabolism.

Keywords:

Data analysis Footprint Functional Integration Mechanistic Metabolomics Multi-omics Phosphoproteomics Proteomics Trans-omics Transcriptomics

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Area of Science:

Multi-omics data analysis
Systems biology
Bioinformatics

Background:

Omic technologies generate vast datasets (transcriptomic, proteomic, etc.).
These data are crucial for understanding cellular processes like signal transduction, gene regulation, and metabolism.
Current analysis methods need enhancement for comprehensive functional insights.

Purpose of the Study:

To summarize resources and methods for analyzing diverse omic data.
To highlight the utility of "footprints" for extracting functional information.
To present methods for integrating multiple omic data types.

Main Methods:

Review of existing omic data analysis resources and methods.
Focus on "footprint" analysis to identify regulatory signatures.
Development and presentation of methods for multi-omic data integration.

Main Results:

"Footprints" serve as signatures of molecular or process effects, integrating multi-measurement data.
These footprints can be generalized across different omic data types.
Methods for integrating diverse omic data and footprint-derived features are presented.

Conclusions:

Leveraging footprints and multi-omic integration enables discovery of novel biological mechanisms.
This approach provides a powerful framework for systems-level biological understanding.
The review offers valuable resources and methodologies for researchers in the field.