rCGH
rCGH: Analysis and Visualization of aCGH Data
rCGH processes array Comparative Genomic Hybridization (aCGH) data to perform automated genomic profile segmentation, gene annotation, and visualization for the identification of copy number alterations.
Key Features:
- aCGH Platform Compatibility: Supports commercial and custom aCGH arrays for genomic profiling.
- Automated Segmentation: Performs segmentation of genomic copy number profiles to detect genomic alterations.
- Gene Annotation Integration: Integrates gene annotations to contextualize copy number changes.
- Traceable Analysis Pipeline: Ensures full traceability of analytical steps for reproducibility.
- Interactive Genomic Visualization: Generates interactive visualizations for exploration of genomic profiles.
Scientific Applications:
- Copy Number Alteration Analysis: Identifies clinically and biologically relevant genomic alterations from aCGH data.
- Precision Medicine: Supports interpretation of genomic profiles for individualized therapeutic strategies.
Methodology:
rCGH reads aCGH data from multiple platforms, performs automated segmentation of genomic copy number profiles, integrates gene annotations to annotate segmented regions, and generates interactive visualizations to support interpretation of genomic alterations.
Topics
Collections
Details
- License:
- Artistic-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
Gene expression analysis
Publications
Commo F, Guinney J, Ferté C, Bot B, Lefebvre C, Soria J, André F. rCGH: a comprehensive array-based genomic profile platform for precision medicine. Bioinformatics. 2015;32(9):1402-1404. doi:10.1093/bioinformatics/btv718. PMID:26708336. PMCID:PMC4848396.