MouseDivGeno
MouseDivGeno performs genotype calling and Variable INtensity Oligonucleotide (VINO) probe identification on Mouse Diversity Genotyping Array (Affymetrix; analogous to human SNP 6.0) data to improve genotype accuracy and reduce SNP ascertainment bias.
Key Features:
- Genotype Calling: Converts hybridization intensities from allele-specific oligonucleotide probes into genotype calls using advanced clustering algorithms.
- VINO Identification: Detects probe sets with reproducible atypical hybridization intensity patterns (VINOs) that represent variants not accounted for in array design and recovers data otherwise discarded.
- Copy Number Variation (CNV) Analysis: Provides functionalities to perform CNV analysis on high-density genotyping array data.
- Cross-platform VINO Detection: Recognizes atypical hybridization patterns across genotyping platforms including arrays developed for humans, dogs, cattle, and mice.
Scientific Applications:
- Improved Genotype Accuracy: Incorporating VINOs into analyses increases the accuracy of genotype calls derived from Mouse Diversity Genotyping Array data.
- Reduction of Ascertainment Bias: Identification and use of VINOs mitigates SNP ascertainment bias by recovering miscalled or uncalled genotypes.
- Phylogenetic and Haplotype Analysis: Inclusion of VINOs improves species-tree inference and local haplotype assignment, as demonstrated in Mus species tree construction and laboratory mouse strain analysis.
Methodology:
Converts hybridization intensities to genotype calls using clustering algorithms; identifies VINOs by detecting reproducible atypical hybridization intensity patterns across allele-specific oligonucleotide probes on high-density genotyping arrays (Mouse Diversity Genotyping Array, Affymetrix) and supports CNV analysis and cross-platform VINO recognition.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Didion JP, Yang H, Sheppard K, Fu C, McMillan L, de Villena FP, Churchill GA. Discovery of novel variants in genotyping arrays improves genotype retention and reduces ascertainment bias. BMC Genomics. 2012;13(1). doi:10.1186/1471-2164-13-34. PMID:22260749. PMCID:PMC3305361.