GWASTool:A web pipeline for detecting SNP-phenotype associations  

作　　者：Xin Wang Beibei Xin Maozu Guo Guoxian Yu Jun Wang 

机构地区：[1]School of Software,Shandong University,Jinan 250101,China [2]Joint SDU-NTU Centre for Artificial Intelligence Research,Shandong University,Jinan 250101,China [3]College of Agronomy&Biotechnology,China Agricultural University,Beijing 100193,China [4]College of Electrical and Information Engineering,Bejing University of Civil Engineering and Architecture,Beijing 100044,China

出　　处：《Fundamental Research》2024年第4期761-769,共9页自然科学基础研究（英文版）

基　　金：the National Natural Science Foundation of China(62031003 and 62072380);Shandong Provincial Key Research and Development Program(2021CXGC010506).

摘　　要：The genome-wide association study(GWAS)aims to detect associations between individual single nucleotide polymorphisms(SNPs)or SNP interactions and phenotypes to decipher the genetic mechanism.Existing GWAS analysis tools have different focuses and advantages,but suffer a series of tedious and heterogeneous configurations for computation.It is inconvenient for researchers to simply choose and apply these tools,statistically and biologically analyze their results for different usages.To address these issues,we develop a user friendly web pipeline GWASTool for detecting associations,which includes simulation data generation,associated loci detection,result visualization,analysis and comparison.GWASTool provides a unified and plugin-able framework to encapsulate the heterogeneity of GWAS algorithms,simplifies the analysis steps and energizes GWAS tasks.GWASTool is implemented in Java and is freely available for public use at http://wwW.sdu-idea.cn/GWASTool.The website hosts a comprehensive collection of resources,including a user manual,description of integrated algorithms,data examples and standalone version for download.

关 键 词：Genome-wideassociation studies SNP interactions Associated loci detection SNP visualization Web server 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]