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Related Concept Videos

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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.
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Related Experiment Video

Updated: Jan 22, 2026

Laser Microdissection-Based Protocol for the LC-MS/MS Analysis of the Proteomic Profile of Neuromelanin Granules
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WinProphet: A User-Friendly Pipeline Management System for Proteomics Data Analysis Based on Trans-Proteomic

Ching-Tai Chen1, Chu-Ling Ko2, Wai-Kok Choong1

  • 1Institute of Information Science , Academia Sinica , Nankang, Taipei 115 , Taiwan.

Analytical Chemistry
|July 16, 2019
PubMed
Summary

WinProphet automates complex proteomic analyses by creating executable pipelines for the Trans-Proteomic Pipeline (TPP). This software tool streamlines protein and peptide identification and quantitation using mass spectrometry data.

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Protein and peptide identification and quantitation are critical in proteomics.
  • Mass spectrometry data analysis involves multiple complex steps.
  • Existing tools like Trans-Proteomic Pipeline (TPP) offer powerful functionalities but require manual intervention.

Purpose of the Study:

  • To develop a software tool, WinProphet, for automated execution of proteomic analysis pipelines.
  • To integrate TPP functionalities and other command-line programs into a seamless workflow.
  • To provide users with a user-friendly interface for configuring and managing analysis pipelines.

Main Methods:

  • Developed WinProphet, a standalone, installation-free software with graphical interfaces.
  • Integrated WinProphet with TPP and external command-line tools.
  • Supported functionalities including database search, spectral library search, DIA data analysis, and quantitative proteomics (label-free and isobaric labeling).

Main Results:

  • WinProphet enables automatic execution of complex proteomic analysis pipelines.
  • Pipelines can be configured, managed, and exported as reusable XML files.
  • The tool supports a wide range of proteomic analysis tasks, enhancing efficiency.

Conclusions:

  • WinProphet significantly simplifies and automates proteomic data analysis.
  • The software enhances the usability of TPP and other bioinformatics tools.
  • Freely available resources facilitate broader adoption and application in research.