UniprotR
UniprotR retrieves, parses, clusters, and visualizes protein data from UniProtKB and integrates annotations from resources such as SWISS-MODEL and STRING to support proteomics, functional annotation, and comparative genomics analyses.
Key Features:
- Data Retrieval: Retrieves comprehensive protein information from UniProtKB by accession number, including names and taxonomy.
- Data Clustering: Supports clustering of proteins based on primary gene names or chromosomal locations.
- Visualization Capabilities: Generates Gene Ontology (GO) diagrams, chromosomal location maps, protein scoring and status charts, protein interaction networks, sequence phylogenetic trees, and physicochemical property plots.
- Integration with Other Databases: Integrates data and annotations from external resources such as SWISS-MODEL and STRING.
- Output Formats: Produces summarized outputs as data frames, CSV files, and graphical figures.
Scientific Applications:
- Proteomics analysis: Enables retrieval and visualization of protein-centric data for proteomics investigations.
- Functional annotation: Supports assignment and exploration of protein functions using GO diagrams and integrated annotations.
- Comparative genomics: Facilitates comparative analyses through clustering by gene name or chromosomal location.
- Evolutionary analysis: Supports inference of evolutionary relationships using sequence phylogenetic trees.
Methodology:
Retrieves and parses proteomics data from UniProtKB and integrated databases, performs clustering by primary gene names or chromosomal locations, and generates graphical outputs within an R implementation.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- R
- Added:
- 1/14/2020
- Last Updated:
- 1/2/2021
Operations
Publications
Soudy M, Anwar AM, Ahmed EA, Osama A, Ezzeldin S, Mahgoub S, Magdeldin S. UniprotR: Retrieving and visualizing protein sequence and functional information from Universal Protein Resource (UniProt knowledgebase). Journal of Proteomics. 2020;213:103613. doi:10.1016/j.jprot.2019.103613. PMID:31843688.