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Related Concept Videos

Proteomics01:33

Proteomics

10.1K
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...
10.1K

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Mapping Dysfunctional Protein-Protein Interactions in Disease
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PRISM: a data management system for high-throughput proteomics.

Gary R Kiebel1, Ken J Auberry, Navdeep Jaitly

  • 1Pacific Northwest National Laboratory, Richland, WA 99352, USA.

Proteomics
|February 14, 2006
PubMed
Summary
This summary is machine-generated.

The Proteomics Research Information Storage and Management system (PRISM) offers a scalable computational platform for analyzing large proteomics datasets. It supports systems biology and biomarker discovery by integrating diverse data and analysis tools.

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Area of Science:

  • Proteomics
  • Systems Biology
  • Biomarker Discovery
  • Bioinformatics

Background:

  • Large-scale proteomics research requires advanced informatics tools for analyzing diverse, high-volume data.
  • Effective data processing and management are crucial for computational platforms in proteomics.
  • Platforms must offer high-throughput capabilities and flexibility for evolving analysis methods.

Purpose of the Study:

  • To introduce the Proteomics Research Information Storage and Management system (PRISM) as a computational platform.
  • To detail PRISM's suitability for the accurate mass and time tag approach in proteomics.
  • To highlight PRISM's scalability and adaptability for advanced proteomics research.

Main Methods:

  • Development of the Proteomics Research Information Storage and Management system (PRISM).
  • Implementation of a state machine for integrating diverse analysis tools and distributed computational nodes.
  • Utilizing PRISM for data processing, management, and high-throughput analysis in proteomics.

Main Results:

  • PRISM provides a robust platform for proteomics data analysis, supporting the accurate mass and time tag approach.
  • The system demonstrates significant scalability, effectively managing increasing data volumes over several years.
  • PRISM's architecture allows for the incorporation of new and improved data analysis tools.

Conclusions:

  • PRISM is an effective computational platform for advanced proteomics research, including systems biology and biomarker discovery.
  • The system's design ensures adaptability and scalability, crucial for the evolving field of proteomics.
  • PRISM facilitates high-throughput data analysis, enhancing the efficiency and accuracy of proteomics studies.