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Published on: April 4, 2018
SNP analysis to results (SNPator): a web-based environment oriented to statistical genomics analyses upon SNP data
Carlos Morcillo-Suarez1, Josep Alegre, Ricardo Sangros
1Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona Biomedical Research Park (PRBB), Barcelona, Spain.
SNPator simplifies genetic analysis by integrating common single nucleotide polymorphism (SNP) association study steps. This web-based tool reduces the need for extensive computational resources and expertise, making complex genetic research more accessible.
Area of Science:
- Genetics
- Bioinformatics
Background:
- Single nucleotide polymorphisms (SNPs) are crucial genetic markers for studying complex traits, diseases, and evolutionary history.
- High-throughput technologies generate vast amounts of SNP data, necessitating sophisticated analysis tools.
- Current SNP analysis often involves complex, costly, and incompatible software, posing challenges for researchers.
Purpose of the Study:
- To introduce SNPator, a user-friendly, web-based suite for analyzing SNP data.
- To streamline the process of SNP association studies and related genetic analyses.
- To provide an accessible platform that eliminates the need for extensive computational infrastructure and specialized software management skills.
Main Methods:
- SNPator integrates common algorithms for SNP association studies.
- The platform accepts genotype data directly from standard genotyping platform output files.
- Phenotypic data can be easily uploaded for integrated analysis.
- Quality control and analysis procedures can be performed using built-in algorithms or by calling external genetic software.
Main Results:
- SNPator offers a user-friendly interface for complex SNP data analysis.
- The suite integrates multiple algorithms, simplifying the workflow for SNP association studies.
- It supports direct input from common genotyping platforms and allows phenotypic data integration.
- Users can perform various quality control and analysis steps without requiring advanced bioinformatics expertise or significant computing resources.
Conclusions:
- SNPator provides an accessible and efficient solution for SNP data analysis.
- The web-based suite democratizes genetic research by lowering computational and technical barriers.
- It facilitates comprehensive SNP association studies and related analyses, supporting broader scientific discovery.
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Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...

