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
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