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
Literature & Tutorials:
This record last updated: 01-03-2007