AffyGCQC
AffyGCQC assesses quality of Affymetrix GeneChip oligonucleotide array data and detects outlier arrays to support reliable differential gene expression analysis.
Key Features:
- Graphical Representation of QC Metrics: Visualizes Affymetrix-recommended QC metrics for GeneChip oligonucleotide arrays.
- Extreme Studentized Deviate (ESD) Statistical Tests: Implements extreme studentized deviate (ESD) tests to identify outlier arrays within experimental sets.
Scientific Applications:
- Preprocessing Quality Control: Performs QC in preprocessing to exclude poor-quality arrays before downstream differential gene expression analysis.
- Outlier Detection: Detects technical artifacts and outlier arrays that can confound biological interpretation.
- Large-Scale Consistency Assessment: Assesses consistency across multiple arrays and experiments in large-scale studies.
Methodology:
Integrates Affymetrix-recommended QC metrics with extreme studentized deviate (ESD) statistical testing and produces graphical representations of QC metrics.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
OSORIO Y FORTÉA J, PRINA É, LANG T, MILON G, DAVORY C, COPPÉE J, REGNAULT B. AFFYGCQC: A WEB-BASED INTERFACE TO DETECT OUTLYING GENECHIPS WITH EXTREME STUDENTIZED DEVIATE TESTS. Journal of Bioinformatics and Computational Biology. 2008;06(02):317-334. doi:10.1142/s0219720008003400. PMID:18464325.
PMID: 18464325