CAFE
CAFE detects and visualizes gross chromosomal aberrations from Affymetrix expression microarray (*.CEL) data by identifying deviations in expression profiles.
Key Features:
- Detection: Identifies gross chromosomal aberrations from expression microarray data.
- Input format: Processes Affymetrix *.CEL files (raw gene expression data) from Affymetrix arrays.
- Implementation: Implemented as an R package.
- Visualization: Provides flexible plotting functions for visualization of chromosomal abnormalities.
- Analytical approach: Leverages comprehensive expression profiles to identify deviations indicative of chromosomal aberrations.
Scientific Applications:
- Cancer genomics: Detection and visualization of chromosomal aberrations associated with tumor genomes.
- Genetic disorders: Analysis of expression-derived chromosomal abnormalities relevant to genetic disorders.
- Genomic research: Application in studies of other conditions where gross chromosomal aberrations play a role.
Methodology:
Implemented as an R package that processes Affymetrix *.CEL expression microarray files, analyzes expression profiles to identify deviations indicative of gross chromosomal aberrations, and generates flexible plots for visualization.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Bollen S, Leddin M, Andrade-Navarro MA, Mah N. CAFE: an R package for the detection of gross chromosomal abnormalities from gene expression microarray data. Bioinformatics. 2014;30(10):1484-1485. doi:10.1093/bioinformatics/btu028. PMID:24451624. PMCID:PMC4016701.