SNPAnalyzer -- a web-based integrated workbench for single-nucleotide polymorphism analysis

What you can do:
Perform essential statistical analyses of SNPs in a common computational environment.
Highlights:
  • It is composed of three main modules: (i) data manipulation, (ii) analysis and (iii) visualization.
  • The data manipulation module is responsible for data input and output, and handles genotype, phenotype and genetic distance data.
  • The analysis module performs statistical calculations and consists of four subcomponents: (i) Hardy-Weinberg equilibrium, (ii) Haplotype Estimation, (iii) linkage disequilibrium (LD) and (iv) quantitative trait locus analysis.
  • The main feature of the analysis module is multiple implementations of different algorithms and indices for haplotype estimation and for LD analysis.
  • It enables users to compare separate results generated by different algorithms, which help to avoid biased results acquired by applying a single statistical algorithm.
  • The performance of all implemented algorithms has been validated using experimentally proven datasets.
  • The visualization module presents most of the analyzed results as figures, rather than as simple text, which aids in the intuitive understanding of complex data.
Keywords:
  • single nucleotide polymorphisms
  • SNPs
  • SNP discovery tool
  • SNP analysis tool
  • insertion polymorphisms detection tool
  • deletion polymorphisms detection tool
  • single nucleotide polymorphism
  • single nucleotide polymorphism discovery tool
  • SNP detection tool
  • SNP phenotype prediction tool
  • genetic variations
  • Hardyx96Weinberg equilibrium
  • Haplotype Estimation
  • linkage disequilibrium
  • quantitative trait locus analysis
This record last updated: 01-03-2007

The Health Sciences Library System supports the Health Sciences at the University of Pittsburgh.

© 1996 - 2014 Health Sciences Library System, University of Pittsburgh. All rights reserved.
Contact the Webmaster

University of Pittsburgh Libraries