Pbase

Pbase visualizes MS-based proteomics protein sequence data using the R software environment to support exploration and communication of complex proteomics datasets.


Key Features:

  • Data Visualization Capabilities: Employs R's plotting systems to generate detailed visual representations of raw and processed mass spectrometry (MS)-based proteomics data.
  • Exploration and Pattern Recognition: Enables visual exploration to reveal underlying structure, patterns, significant trends, and anomalies within proteomics datasets.
  • Communication of Data: Produces visualizations that facilitate conveying complex proteomics results to researchers and broader scientific audiences.

Scientific Applications:

  • Proteomics Research: Enables detailed analysis and interpretation of protein sequence data derived from MS experiments.
  • Data Exploration: Supports exploration of large-scale proteomics datasets to investigate protein expression patterns, post-translational modifications, and interactions.
  • Educational Purposes: Provides clear visualizations to aid teaching and training in proteomics and protein-sequence-level concepts.

Methodology:

Integrates R's comprehensive plotting systems to transform proteomics data into visual formats and supports customization of plots.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Publications

Gatto L, Breckels LM, Naake T, Gibb S. Visualization of proteomics data using R and Bioconductor. PROTEOMICS. 2015;15(8):1375-1389. doi:10.1002/pmic.201400392. PMID:25690415. PMCID:PMC4510819.

PMID: 25690415
PMCID: PMC4510819
Funding: - Biotechnology and Biological Sciences Research Council: BB/K00137X/1, BB/L002817/1 - Seventh Framework Programme: 262067

Documentation

Downloads

Links

Related Tools

annotationhub
Relation: uses
biocstyle
Relation: uses