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Related Concept Videos

Proteomics01:33

Proteomics

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 proteomics...

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Related Experiment Video

Updated: May 9, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

Data visualization in environmental proteomics.

Henry Mehlan1, Frank Schmidt, Stefan Weiss

  • 1Institute for Microbiology, Ernst Moritz Arndt University Greifswald, Greifswald, Germany.

Proteomics
|August 6, 2013
PubMed
Summary
This summary is machine-generated.

This study explores advanced data visualization techniques for environmental proteomics, moving beyond basic charts to interpret complex biological data effectively. It highlights methods like heat maps and tree maps using real-world examples to aid scientists.

Keywords:
Data visualizationEnvironmental proteomicsStream graphsTechnologyTree maps

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

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Last Updated: May 9, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Area of Science:

  • Environmental Proteomics
  • Bioinformatics
  • Data Visualization

Background:

  • Environmental proteomics generates diverse data, from raw measurements to gene expression profiles.
  • Interpreting this data, whether simple or complex, requires effective visualization strategies.
  • Traditional tools like bar charts may not suffice for intricate datasets.

Purpose of the Study:

  • To focus exclusively on data visualization techniques within environmental proteomics.
  • To review and discuss rules and concerns for displaying single and complex data.
  • To introduce and demonstrate sophisticated visualization tools beyond traditional methods.

Main Methods:

  • Review of data visualization principles and best practices.
  • Discussion of advanced visualization tools.
  • Demonstration of techniques using real environmental proteomics data sets.

Main Results:

  • Identification of advanced visualization tools such as microcharts, heat maps, stream graphs, and tree maps.
  • Practical examples illustrating the application of these tools.
  • Guidelines for effective data display in environmental proteomics.

Conclusions:

  • Sophisticated visualization tools are essential for interpreting complex environmental proteomics data.
  • Advanced techniques offer enhanced insights compared to traditional graphing methods.
  • This work provides a practical guide for scientists and visualization professionals.