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Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Mergeomics: a web server for identifying pathological pathways, networks, and key regulators via multidimensional

Douglas Arneson¹, Anindya Bhattacharya¹, Le Shu¹

¹Department of Integrative Biology and Physiology, University of California, Los Angeles, CA, 90095, USA.

|September 11, 2016

Summary

Mergeomics integrates multiple omics data types to reveal disease mechanisms. This user-friendly web server provides tools for analyzing complex genomic data, uncovering key regulators and pathways for disease development.

Keywords:

Disease network EWAS GWAS Key driver Multidimensional data integration Network meta-analysis Omics integration Pathway meta-analysis TWAS Web server

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Human diseases involve complex molecular, cellular, and systemic changes.
Omics datasets capture these changes but require integration for holistic understanding.
Existing analyses of separate omics data yield fragmented insights into disease mechanisms.

Purpose of the Study:

To develop a computational pipeline, Mergeomics, for integrating multidimensional omics data.
To create a user-friendly web server for the Mergeomics pipeline to aid researchers.
To provide tools for deriving biological insights, pathways, and gene networks critical for disease development.

Main Methods:

Developed the Mergeomics computational pipeline for data integration.
Implemented a modular, user-friendly web server for the pipeline.
Integrated curated genomic resources and computational tools (MDF, MSEA, Meta-MSEA, wKDA).

Main Results:

The Mergeomics web server is available online (http://mergeomics.idre.ucla.edu/).
It offers modular pipeline implementation with tutorials and curated genomic resources.
Supports analysis of user-defined omics datasets for real-time, interpretable results.

Conclusions:

Mergeomics provides flexible, user-friendly tools for integrating multidimensional data.
Facilitates holistic views of disease mechanisms through data integration.
Identifies tissue-specific key regulators, biological pathways, and gene networks.