OpenStats
OpenStats implements statistical methods for analyzing genotype to phenotype association in high-throughput screening pipelines.
Key Features:
- Robust Statistical Analysis: The package provides several methods for statistical analysis of genotype to phenotype association data.
- Scalable Implementation: The software supports reproducible analysis across large-scale high-throughput screening datasets.
Scientific Applications:
- High-Throughput Screening: OpenStats enables statistical analysis of genotype to phenotype association in high-throughput screening pipelines.
Methodology:
The package contains several methods for statistical analysis of genotype to phenotype association.
Collections
Details
- License:
- GPL-2.0-or-later
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 8/30/2026
- Last Updated:
- 8/30/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/OpenStatsDownloads
- Source codehttps://git.io/Jv5w0