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Related Experiment Videos

Genome annotating proteomics pipelines: available tools.

Ian Shadforth1, Conrad Bessant

  • 1Cranfield University, Cranfield Health, Silsoe, MK45 4DT, UK. ian.shadforth@cranfield.ac.uk

Expert Review of Proteomics
|December 22, 2006
PubMed
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Automated proteomics pipelines now rapidly identify proteins from large datasets. Researchers should utilize these tools, like PeptideAtlas and the Genome Annotating Proteomic Pipeline, to advance biological understanding.

Area of Science:

  • Proteomics
  • Computational Biology
  • Biomarker Discovery

Background:

  • High-throughput proteomics generates vast data, previously limited by slow computational identification methods.
  • Automated pipelines for peptide and protein identification have overcome this bottleneck, enabling rapid analysis of large datasets.

Purpose of the Study:

  • To review publicly available proteomics data analysis pipelines: PeptideAtlas and Genome Annotating Proteomic Pipeline.
  • To compare the usefulness and usability of these pipelines in high-throughput proteomics.
  • To encourage the use of pooled information from these resources for biological discovery.

Main Methods:

  • Review of features of PeptideAtlas and Genome Annotating Proteomic Pipeline.
  • Side-by-side comparison of results from processing human plasma samples using both pipelines.

Related Experiment Videos

Main Results:

  • Automated pipelines provide rapid, high-confidence protein identifications from large datasets.
  • Comparison demonstrates the utility and usability of PeptideAtlas and Genome Annotating Proteomic Pipeline for proteomics research.

Conclusions:

  • Computational bottlenecks in proteomics data analysis have been resolved by automated pipelines.
  • Leveraging resources like PeptideAtlas and Genome Annotating Proteomic Pipeline is crucial for advancing biological understanding through proteomics.