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Updated: Jul 15, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

From functional genomics to systems biology.

Sergii Ivakhno¹

¹Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh, UK. s0567096@sms.ed.ac.uk

The FEBS Journal

|April 25, 2007

Summary

This review summarizes key trends in functional genomics and systems biology, highlighting advances in network analysis, DNA microarrays, and mass spectrometry for protein interactions.

Area of Science:

Genomics
Systems Biology
Bioinformatics

Background:

The third EMBL Biennial Symposium focused on the integration of functional genomics and systems biology.
The symposium addressed current challenges and emerging trends in the field.

Purpose of the Study:

To review the talks presented at the symposium.
To highlight key technological advances and future research directions.

Main Methods:

Discussion of various subfields including regulatory element analysis, signaling, transcription, and protein-protein interaction networks.
Introduction of technological advancements in DNA microarrays and mass spectrometry (MS).

Main Results:

Consideration of medical applications of DNA microarrays and metagenomics.

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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

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Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

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Overview of network analysis in biological systems.

Conclusions:

Identification of major directions for future systems biology research.
Emphasis on the interdisciplinary nature of modern biological research.