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Updated: Jun 7, 2025

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

Published on: July 12, 2018

MultiOmicsIntegrator: a nextflow pipeline for integrated omics analyses.

Bianka Alexandra Pasat^1,2,3,4, Eleftherios Pilalis⁴, Katarzyna Mnich^1,5

¹Apoptosis Research Centre, School of Biological and Chemical Sciences, University of Galway, Galway H91TK33, Ireland.

Bioinformatics Advances

|November 21, 2024

Summary

This summary is machine-generated.

MultiOmicsIntegrator (MOI) is a new pipeline for comprehensive omics analyses. It integrates RNA-seq, proteomics, and metabolomics data for a deeper understanding of biological systems and therapeutic target identification.

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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Area of Science:

Bioinformatics
Genomics
Systems Biology

Background:

Accurate analysis of gene and isoform expression is crucial for understanding biochemical mechanisms.
Integrating multi-omics data (RNA-seq, proteomics, metabolomics) enhances biological process comprehension and therapeutic target discovery.

Purpose of the Study:

To present MultiOmicsIntegrator (MOI), a unified pipeline for comprehensive omics data analysis.
To facilitate in-depth analysis of RNA-seq data, including genes, isoforms, and miRNAs, with functional annotation and structure prediction.
To enable integration of diverse omics datasets using data- and function-driven approaches for a holistic biological systems view.

Main Methods:

MOI performs exhaustive analysis of RNA-seq data at gene, isoform, and miRNA levels.
The pipeline includes functional annotation and structure prediction for transcripts.
MOI supports proteomics and metabolomics data, integrating multiple omics datasets simultaneously.

Main Results:

MOI offers a unified approach for diverse omics analyses, including individual in-depth analyses.
The pipeline integrates multiple omics datasets using both data- and function-driven methods.
MOI fosters a deeper understanding of complex biological interactions and aids in identifying potential therapeutic targets.

Conclusions:

MultiOmicsIntegrator (MOI) provides a comprehensive solution for multi-omics data analysis.
The pipeline enhances the understanding of biological systems by integrating diverse data types.
MOI supports the identification of potential therapeutic targets through integrated omics approaches.