Services4SNPs: A RESTful Platform for Association Rule Mining and Survival Analysis of Genotyping Data

Abstract

The analysis of the relations among diseases and genetic aspects of individuals is based on the analysis of data produced by high-throughput experimental technologies, such as Single Nucleotide Polymorphism (SNP) genotyping data. We present a novel data analysis pipeline for SNP data, named Services4SNPs (S4S), that includes two previously developed data analysis tools, DMET-Miner and OSAnalyzer, that have been engineered and modified to be deployed as RESTful web services, named GenotypeAnalytics (GA) and OSAnalytics (OSA) respectively. S4S tries to overcome the limits of desktop bioinformatics software by moving complexity on the server-side, allowing users to easily extract multiple associations between SNPs in DMET datasets and correlate the presence-absence of SNPs with the overall survival of the subjects in DMET datasets annotated with clinical information.