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Related Concept Videos

Proteomics01:33

Proteomics

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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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Conservation of Protein Domains Over Different Proteins02:26

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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Protein Networks02:26

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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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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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Pladipus Enables Universal Distributed Computing in Proteomics Bioinformatics.

Kenneth Verheggen1,2,3, Davy Maddelein1,2,3, Niels Hulstaert1,2,3

  • 1Medical Biotechnology Center, VIB , Albert Baertsoenkaai 3, Ghent B-9000, Belgium.

Journal of Proteome Research
|October 30, 2015
PubMed
Summary
This summary is machine-generated.

Pladipus is a free, open-source framework that simplifies distributed computing for proteomics bioinformatics. It empowers researchers to tackle complex computational challenges and analyze large datasets efficiently.

Keywords:
cluster computingdistributed computinglarge scale data processingparallelization

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Area of Science:

  • Proteomics Bioinformatics
  • Computational Biology
  • Distributed Computing

Background:

  • Proteomics bioinformatics offers deep insights into proteomes but requires significant computational resources.
  • Establishing distributed computing infrastructure for complex bioinformatics tasks is challenging for most research groups due to resource and skill limitations.

Purpose of the Study:

  • To introduce Pladipus, a free and open-source framework designed to simplify the creation of distributed computing networks for proteomics bioinformatics tools.
  • To enable researchers to easily leverage distributed computing for complex bioinformatics analyses.

Main Methods:

  • Development of Pladipus, a user-friendly, open-source framework with a graphical interface.
  • Facilitation of the installation and operation of distributed computing networks for bioinformatics tasks.

Main Results:

  • Pladipus significantly lowers the barrier to entry for implementing distributed computing in proteomics research.
  • Complex bioinformatics tasks can be executed on a network, enhancing computational efficiency.
  • Enables large-scale reprocessing of public proteomics data, supporting data mining and discovery.

Conclusions:

  • Pladipus democratizes access to distributed computing for proteomics bioinformatics, empowering researchers of all skill levels.
  • The framework supports the scientific community in addressing complex computational challenges and accelerating discoveries from large-scale proteomics data.