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Related Concept Videos

Proteomics01:33

Proteomics

8.4K
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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Related Experiment Video

Updated: Oct 11, 2025

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

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iProX in 2021: connecting proteomics data sharing with big data.

Tao Chen1, Jie Ma1, Yi Liu1

  • 1State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China.

Nucleic Acids Research
|December 6, 2021
PubMed
Summary
This summary is machine-generated.

The iProX database now utilizes a big data platform for enhanced proteomics data management. This upgrade supports massive data storage and rapid querying, facilitating open data sharing in proteomics research.

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Data Science

Background:

  • Proteomics studies generate vast experimental datasets.
  • Effective data management platforms are crucial for handling big data in life sciences.
  • The integrated proteome resource iProX was established to address these challenges.

Purpose of the Study:

  • To detail the significant upgrades to the iProX database since its initial publication.
  • To highlight the implementation of a new big data platform for improved functionality.
  • To showcase new features enhancing data sharing and accessibility.

Main Methods:

  • Implementation of a hyper-converged architecture for scalable data submission.
  • Utilizing a Hadoop cluster for large-scale proteomics dataset storage.
  • Employing a distributed Elastic Search engine for rapid data querying.
  • Integration of the Universal Spectrum Identifier (USI) mechanism and RESTful Web Service API.
  • Development of an efficient reanalysis pipeline for data processing.

Main Results:

  • iProX now features a scalable big data platform implemented in 2021.
  • The platform supports petabyte-level data storage and billions of spectra records.
  • Querying millions of records is achievable within one second.
  • By August 2021, 1526 datasets totaling 92.42TB were submitted.
  • New features promote enhanced open data sharing.

Conclusions:

  • The upgraded iProX platform effectively manages large-scale proteomics data.
  • The implemented big data infrastructure meets the demands of the rapidly growing proteomics field.
  • iProX provides robust capabilities for data storage, querying, and sharing, advancing open science in proteomics.