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Related Concept Videos

Proteomics01:33

Proteomics

8.7K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Protein Networks02:26

Protein Networks

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Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Related Experiment Video

Updated: Nov 6, 2025

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

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ProteoMill: efficient network-based functional analysis portal for proteomics data.

Martin Rydén1, Martin Englund1, Neserin Ali2

  • 1Department of Clinical Sciences Lund, Orthopedics, Clinical Epidemiology Unit, Lund University, SE-22185 Lund, Sweden.

Bioinformatics (Oxford, England)
|May 12, 2021
PubMed
Summary
This summary is machine-generated.

ProteoMill is a new R Shiny application that streamlines omics data analysis. This integrated tool simplifies complex workflows, from data upload to functional analysis, benefiting researchers in proteomics.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Proteomics

Background:

  • Functional analysis is crucial for interpreting omics data and understanding disease mechanisms.
  • Current omics data analysis often requires multiple, separate software tools, leading to inefficiencies.
  • A need exists for integrated solutions to streamline the omics analysis pipeline.

Purpose of the Study:

  • To develop an integrated R Shiny application for comprehensive omics data analysis.
  • To provide a user-friendly platform that combines multiple analytical steps into a single workflow.
  • To address the challenge of maintaining up-to-date annotation data in omics analysis.

Main Methods:

  • Developed the ProteoMill portal as an R Shiny application.
  • Integrated essential steps: data upload, identifier conversion, quality control, differential expression analysis, and network-based functional analysis.
  • Ensured continuous updates of annotation data sources and seamless integration of multiple R packages.

Main Results:

  • ProteoMill offers a fast, interactive, and easy-to-use workflow for omics data analysis.
  • The application successfully integrates diverse analytical functions into a single platform.
  • Maintains current annotation data, mitigating issues with outdated information.

Conclusions:

  • ProteoMill provides a unified solution for omics data analysis, enhancing user experience.
  • The tool facilitates exploratory analysis of proteomics data, making complex processes more accessible.
  • Addresses the need for integrated omics analysis software, improving research efficiency.