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.

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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.

Documentation

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