BiocPkgTools
BiocPkgTools extracts and formats computable metadata from the Bioconductor package ecosystem to support analysis of package relationships, longitudinal usage trends, dependencies, and build reports.
Key Features:
- Metadata Accessibility: Provides access to computable metadata from Bioconductor packages, including package descriptions, longitudinal download statistics, dependencies, and build reports formatted as tidy data.
- Data and Text Mining Capabilities: Facilitates data and text mining on package descriptions and other metadata to extract structured insights.
- Graph Analytics and Visualization: Converts tidy data into graph structures and enables graph-based analytics and visualization to explore package relationships and dependencies.
- Custom Reporting and Search Approaches: Enables generation of custom reports and implementation of tailored search strategies on Bioconductor package metadata.
Scientific Applications:
- Dependency and Network Analysis: Analyze package dependencies and network relationships to inform software development and integration.
- Longitudinal Usage Studies: Perform longitudinal analyses of download statistics to track package usage trends within the bioinformatics community.
- Metadata-driven Workflow and Reporting Development: Develop custom workflows and reporting mechanisms based on mined metadata and graph analytics.
Methodology:
Extracts Bioconductor package metadata and formats it as tidy data; computes longitudinal download statistics, dependency lists, and build reports; performs data and text mining on package descriptions; converts tidy data into graph structures for graph analytics and visualization; and generates custom reports and supports tailored search.
Topics
Details
- License:
- MIT
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 7/1/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Su S, Carey VJ, Shepherd L, Ritchie M, Morgan MT, Davis S. BiocPkgTools: Toolkit for mining the Bioconductor package ecosystem. F1000Research. 2019;8:752. doi:10.12688/f1000research.19410.1. PMID:31249680. PMCID:PMC6584971.