ISTECH SNPAnalyzer

ISTECH SNPAnalyzer performs statistical analysis of single nucleotide polymorphisms (SNPs) to assess Hardy–Weinberg equilibrium, estimate haplotypes, analyze linkage disequilibrium, and identify quantitative trait loci from genotype, phenotype, and genetic distance data.


Key Features:

  • Data Manipulation Module: Handles input and output operations for genotype, phenotype, and genetic distance data.
  • Analysis Module: Performs Hardy–Weinberg equilibrium (HWE) testing, haplotype estimation, linkage disequilibrium (LD) analysis, and quantitative trait locus (QTL) analysis.
  • Multiple Algorithm Support: Utilizes multiple algorithms for haplotype estimation and various indices for LD analysis to enable cross-comparison of results.
  • Validation: Implements algorithms that have been validated using experimentally proven datasets.
  • Visualization Module: Produces graphical representations of analytical results for interpretation.
  • Implementation: Implemented in C and C++ to provide high-performance handling of large-scale SNP datasets.

Scientific Applications:

  • Population Genetics: Applies HWE analysis to assess allele frequency distributions and equilibrium in populations.
  • QTL Mapping: Identifies associations between genetic regions and quantitative traits.
  • Genome Structure and Function: Uses haplotype estimation and LD analysis to investigate genomic linkage patterns and haplotype structure.

Methodology:

Implemented in C and C++, the software integrates data input/output handling with modules for HWE testing, haplotype estimation using multiple algorithms, LD analysis using various indices, QTL analysis, and graphical result visualization, and its algorithms were validated against experimentally proven datasets.

Topics

Details

Tool Type:
web application
Added:
2/10/2017
Last Updated:
11/25/2024

Operations

Publications

Yoo J, Seo B, Kim Y. SNPAnalyzer: a web-based integrated workbench for single-nucleotide polymorphism analysis. Nucleic Acids Research. 2005;33(Web Server):W483-W488. doi:10.1093/nar/gki428. PMID:15980517. PMCID:PMC1160189.