pint
pint integrates pairwise DNA, RNA, and miRNA dependency screen data to enable functional genomics analyses of gene dependencies, regulation, and interactions.
Key Features:
- Pairwise Data Integration: Integrates DNA, RNA, and miRNA dependency screen datasets for pairwise comparison and combined analysis.
- Functional Genomics Analysis: Supports analysis aimed at identifying gene function, regulatory relationships, and interaction networks from dependency data.
- Bioconductor Interoperability: Implements functionality within the Bioconductor ecosystem for use in the R statistical programming environment.
Scientific Applications:
- Dependency Screens: Enables analysis and comparison of dependency screens across DNA, RNA, and miRNA data types to identify critical dependencies.
- Gene Regulation and Interaction Discovery: Facilitates identification of regulatory relationships and interaction networks inferred from integrated dependency datasets.
Methodology:
Implements analyses in R using Bioconductor infrastructure for data manipulation, visualization, and statistical analysis.
Topics
Collections
Details
- License:
- BSD-4-Clause
- 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
Copy number estimation
Publications
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.