PAnnBuilder
PAnnBuilder assembles and standardizes protein annotation datasets by parsing and integrating information from multiple public databases for large-scale proteomic analyses.
Key Features:
- Automated Data Assembly: Parses and integrates annotation data from 16 distinct public databases.
- Pre-built Annotation Packages: Provides 54 pre-assembled annotation packages for human, mouse, and rat, constructed as R objects or SQLite databases.
- Uniform Data Provision: Standardizes protein annotations across multiple sources to provide consistent annotation fields.
- Sequence-similarity-based Annotation: Supports annotations based on protein sequence similarity for comparative and evolutionary analyses.
- Custom Annotation Package Construction: Supports construction of custom annotation packages within the R framework.
Scientific Applications:
- Large-scale Proteomic Studies: Supplies integrated, standardized annotations to support analysis and interpretation of high-throughput proteomic datasets.
- Comparative Proteomics and Evolutionary Studies: Enables sequence-similarity-based annotations to facilitate comparative and evolutionary investigations.
- Reproducibility and Standardization: Provides consistent annotation datasets to improve reproducibility across proteomic analyses.
Methodology:
Uses an R-based framework to automate extraction, parsing, integration, and standardization of protein annotation data from 16 public databases and to assemble outputs as R objects or SQLite databases, including support for sequence-similarity-based annotations.
Topics
Collections
Details
- License:
- GPL-2.0
- 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
Data retrieval
Publications
Li H, Ding G, Xie L, Li Y. PAnnBuilder: an R package for assembling proteomic annotation data. Bioinformatics. 2009;25(8):1094-1095. doi:10.1093/bioinformatics/btp100. PMID:19237448.
PMID: 19237448