MPDA
MPDA analyzes hybridization intensity data from microarray-based pooled DNA experiments using oligonucleotide gene chip technology to estimate allele frequencies, perform association mapping, characterize preferential amplification/hybridization, and detect allelic imbalance and chromosomal aberrations.
Key Features:
- Whole-Genome Analysis: Enables genome-wide analysis of microarray hybridization intensity data from pooled DNA samples.
- Preferential Amplification/Hybridization Characterization: Characterizes genomic patterns of preferential amplification and hybridization and provides calibration information for pooled DNA analyses.
- Allele Frequency Estimation: Estimates allele frequencies from pooled microarray hybridization intensities.
- Association Mapping: Performs association mapping from pooled DNA hybridization data to identify genetic variants associated with traits or diseases.
- Allelic Imbalance and Chromosomal Aberration Detection: Detects allelic imbalance and identifies regions of chromosomal aberration in cancer without requiring paired-normal tissue samples.
- Pooled-DNA Cost Efficiency: Applies pooled DNA strategies to reduce per-sample genotyping cost for large-scale genomic studies.
Scientific Applications:
- Preferential Amplification/Hybridization Analysis: Characterize genomic patterns of preferential amplification and hybridization to inform calibration of pooled data.
- Allele Frequency Estimation: Estimate allele frequencies in populations using pooled microarray data.
- Association Mapping: Conduct cost-effective association mapping with pooled DNA microarray data to detect variants linked to traits or diseases.
- Detection of Chromosomal Aberrations in Cancer: Identify regions of chromosomal aberration and allelic imbalance in cancer samples without paired-normal tissue.
Methodology:
MPDA employs a generalized pooled-DNA approach to systematically analyze microarray hybridization intensity data and implements routines for characterization of preferential amplification/hybridization, allele frequency estimation, association mapping, and detection of chromosomal aberrations without paired-normal samples.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- MATLAB
- Added:
- 12/18/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Yang H, Huang M, Li L, Lin C, Yu AL, Diccianni MB, Wu J, Chen Y, Fann CS. MPDA: Microarray pooled DNA analyzer. BMC Bioinformatics. 2008;9(1). doi:10.1186/1471-2105-9-196. PMID:18412951. PMCID:PMC2387178.