yaqcaffy
yaqcaffy performs quality control and reproducibility analysis of Affymetrix GeneChip expression data to support robust processing and benchmarking of human whole‑genome arrays using MAQC reference datasets.
Key Features:
- Quality Control: Computes comprehensive QC metrics for Affymetrix GeneChip expression data.
- Reproducibility Analysis: Quantifies reproducibility across datasets to validate experimental consistency.
- Bioconductor Integration: Implements analyses within R and the Bioconductor ecosystem for interoperability with other genomic packages.
Scientific Applications:
- Human whole-genome expression studies: Supports QC and reproducibility assessment of human whole‑genome Affymetrix GeneChip experiments.
- Benchmarking and standardization: Enables benchmarking and standardized comparisons using MAQC reference datasets.
Methodology:
Implements statistical analyses in R within the Bioconductor project and uses MAQC reference datasets for benchmarking and reproducibility assessment.
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
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.