Protter

Protter visualizes experimental proteomic evidence alongside protein feature annotations to integrate proteomic data with protein topology and support peptide selection for targeted proteomics.


Key Features:

  • Interactive Visualization: Visualizes annotated sequence features together with experimental proteomic data in the context of protein topology.
  • Support for Multiple Formats: Accepts a wide range of proteomic file formats to ensure compatibility with datasets from different experimental techniques.
  • Reference Integration: Automatically integrates numerous reference protein annotation sources and supports extension via modular plug-ins.
  • Customized Illustrations: Exports publication-quality illustrations for individual proteins and large datasets.
  • Surfaceome Visualization: Visualizes surfaceome datasets and aids peptide selection for targeted proteomics of membrane proteins.

Scientific Applications:

  • Membrane protein analysis: Integrates topology and proteomic evidence to inform studies of membrane protein structure and function.
  • Targeted proteomics design: Supports peptide selection for targeted proteomics experiments.
  • Proteomic evidence interpretation: Enables contextual interpretation of experimental proteomic data alongside sequence annotations.
  • Figure generation for publication: Produces publication-quality visual outputs for communicating complex proteomic and protein feature data.

Methodology:

Automatic integration of reference protein annotations, support for multiple proteomic file formats, modular plug-ins to extend annotations, visualization of annotated sequence features with experimental proteomic data, and export of publication-quality illustrations.

Topics

Collections

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Omasits U, Ahrens CH, Müller S, Wollscheid B. Protter: interactive protein feature visualization and integration with experimental proteomic data. Bioinformatics. 2013;30(6):884-886. doi:10.1093/bioinformatics/btt607. PMID:24162465.

Documentation

Downloads

Links

Software catalogue
http://ms-utils.org