Enabling proteomics discovery through visual analysis

This article presents the motivation for developing visual analysis tools for proteomic data and demonstrates their application to proteomics research with a visualization tool named Peptide Permutation and Protein Prediction, or PQuad, a functioning visual analytic tool for the study of systems bio...

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Veröffentlicht in:IEEE Engineering in Medicine and Biology Magazine, 24(3):50-57 24(3):50-57, 2005-05, Vol.24 (3), p.50-57
Hauptverfasser: Havre, S.L., Singhal, M., Payne, D.A., Weir Lipton, M.S., Webb-Robertson, B.-J.M.
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container_issue 3
container_start_page 50
container_title IEEE Engineering in Medicine and Biology Magazine, 24(3):50-57
container_volume 24
creator Havre, S.L.
Singhal, M.
Payne, D.A.
Weir Lipton, M.S.
Webb-Robertson, B.-J.M.
description This article presents the motivation for developing visual analysis tools for proteomic data and demonstrates their application to proteomics research with a visualization tool named Peptide Permutation and Protein Prediction, or PQuad, a functioning visual analytic tool for the study of systems biology, is in operation at the Pacific Northwest National Laboratory (PNNL). PQuad supports the exploration of proteins identified by proteomic techniques in the context of supplemental biological information. In particular, PQuad supports differential proteomics by simplifying the comparison of peptide sets from different experimental conditions as well as different proteins identification or confidence scoring techniques. Finally, PQuad supports data validation and quality control by providing a variety of resolutions for huge amounts of data to reveal errors undetected by other methods.
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subjects Amino acids
BASIC BIOLOGICAL SCIENCES
Bioinformatics
BIOLOGY
DISEASES
EXPLORATION
FORECASTING
Genomics
Mass spectroscopy
MINING
Organisms
PEPTIDES
PROTEINS
Proteomics
Sequences
visual analysis, mass spectrometry
visualization
title Enabling proteomics discovery through visual analysis
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