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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
Published on: November 13, 2021
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IsoProt: A Complete and Reproducible Workflow To Analyze iTRAQ/TMT Experiments.
Johannes Griss1,2, Goran Vinterhalter3, Veit Schwämmle4
1EMBL-European Bioinformatics Institute , Wellcome Trust Genome Campus , CB10 1SD Hinxton, Cambridge , United Kingdom.
Journal of Proteome Research
|March 12, 2019
Summary
Reproducibility in proteomics is enhanced with IsoProt, a containerized workflow. This open-source tool ensures identical results across platforms for quantitative proteomics data analysis.
Area of Science:
- Biomedical Research
- Bioinformatics
- Proteomics
Background:
- Reproducibility is a significant challenge in biomedical research.
- Complex bioinformatic workflows in proteomics often involve numerous software tools and parameters, making methods sections insufficient for complete reproduction.
- Ensuring tool interoperability requires extensive parameter definition and data manipulation.
Purpose of the Study:
- To present IsoProt, a comprehensive and reproducible bioinformatic workflow for quantitative proteomics.
- To address the limitations of current methods sections in fully describing and enabling the reproduction of proteomics data analysis.
- To provide a user-friendly solution for analyzing isobarically labeled proteomics data.
Main Methods:
- IsoProt is deployed on a portable container environment for consistent execution.
- The workflow exclusively utilizes open-source tools.
- It features an interactive browser interface for easy configuration and execution of analysis steps.
Main Results:
- IsoProt provides a complete record of performed analyses, including R code for statistical analysis, downloadable as an HTML document.
- The workflow ensures identical results regardless of the computer platform.
- It facilitates the reproducible analysis of quantitative proteomics data.
Conclusions:
- IsoProt significantly improves the reproducibility of quantitative proteomics data analysis.
- The containerized, open-source approach ensures consistent and reliable results.
- This workflow enhances the transparency and reliability of biomedical research findings.
Keywords:
DockerJupyterProtProtocolsTMTbioinformaticsiTRAQisobaric labelingprotocolreproducibilityworkflowMore Related Videos
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