affyContam
affyContam introduces structured corruption into Affymetrix CEL files to simulate data quality issues for testing the robustness of microarray quality-assurance procedures and analysis pipelines.
Key Features:
- Structured Data Corruption: Introduces controlled, systematic errors into Affymetrix CEL files to simulate real-world microarray data quality issues.
- Quality Assurance Testing: Provides corrupted CEL datasets for evaluating the effectiveness and robustness of QA measures and downstream analysis pipelines.
- Integration with Bioconductor: Operates within the Bioconductor ecosystem and interoperates with its infrastructure, including over 934 interoperable packages.
- Interoperability: Compatible with other Bioconductor packages to facilitate incorporation into existing microarray analysis workflows.
Scientific Applications:
- Microarray Data Analysis: Validate microarray data-processing pipelines by testing their ability to detect and handle corrupted Affymetrix CEL files.
- Algorithm Development: Provide controlled corruption scenarios for developing and benchmarking algorithms that detect or tolerate data anomalies.
- Training and Education: Serve as an educational resource for teaching QA techniques and demonstrating the impacts of data corruption on analysis.
Methodology:
Deliberate introduction of controlled errors into Affymetrix CEL files to simulate varied types of data corruption for challenging and evaluating QA processes.
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.