UniprotR: Retrieving and visualizing protein sequence and functional information from Universal Protein Resource...

Area of Science:

• Bioinformatics
• Computational Biology
• Proteomics

Background:

• UniProt Knowledgebase (UniProtKB) is a critical resource for protein information.
• Analyzing and visualizing large-scale proteomics data can be complex and time-consuming.
• Existing tools may lack integrated functionalities for data retrieval, clustering, and visualization.

Purpose of the Study:

• To develop an R package, UniprotR, for streamlined retrieval, clustering, and visualization of protein data from UniProtKB.
• To provide researchers with a user-friendly and efficient tool for handling proteomics data.
• To generate publication-quality graphical outputs for various protein attributes.

Main Methods:

• UniprotR package developed in R language.
• Utilizes data from UniProtKB, SWISS-MODEL, and STRING.
• Implements functions for data parsing, processing, and summarization into data frames or CSV files.
• Generates diverse visualizations including gene ontology, network graphs, and phylogenetic trees.

Main Results:

• UniprotR enables easy retrieval and clustering of protein data.
• The package produces comprehensive graphical outputs for protein information.
• Supports clustering based on gene name or chromosomal location for downstream analysis.
• Provides summarized protein data in readable formats (data frame, CSV).

Conclusions:

• UniprotR offers a robust and efficient solution for proteomics data analysis.
• The package significantly reduces the time required for manual data processing and visualization.
• UniprotR facilitates deeper insights into protein data through integrated analysis and visualization tools.