RpsiXML
RpsiXML implements the PSI-MI 2.5 standard to query, structure, and visualize proteomics protein–protein interaction datasets for standardized data exchange and analysis.
Key Features:
- Standard Compliance: Implements the PSI-MI 2.5 data model from the Human Proteome Organisation Proteomics Standards Initiative (HUPO-PSI) for consistent representation of interaction data.
- Database Support: Supports eight databases that conform to the PSI-MI 2.5 standard for integrated access to multiple interaction repositories.
- Data Querying and Structuring: Provides functionality to query interaction datasets and organize retrieved data into structured representations for downstream analysis.
- Visualization: Produces visual representations of complex interaction datasets to aid exploration and interpretation of proteomics interactions.
Scientific Applications:
- Proteomics data exchange: Enables standardized exchange and aggregation of protein–protein interaction data across PSI-MI 2.5-compliant resources.
- Comparative and integrative analyses: Facilitates access to multiple databases for comprehensive comparisons and integration of interaction datasets.
- Data exploration and interpretation: Supports visualization-driven exploration to uncover interaction patterns and generate hypotheses relevant to basic biology and health/disease studies.
Methodology:
Implements and leverages the PSI-MI 2.5 standard (HUPO-PSI) for data representation and interoperability, provides structured querying and organization of interaction datasets, supports visualization of interaction data, and integrates with PSI-MI 2.5-compliant databases (eight currently supported).
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
Data Inputs & Outputs
Pathway or network visualisation
Publications
Orchard S, Hermjakob H. Data Standardization by the HUPO-PSI: How has the Community Benefitted?. Methods in Molecular Biology. 2010. doi:10.1007/978-1-60761-987-1_9. PMID:21063946.
PMID: 21063946