GOAT: Genetic Output Analysis Tool: An open source GWAS and genomic region visualization tool

摘要: Genome wide association studies (GWAS) are a widely used approach in genetic research to identify genes or variants involved human diseases. Each GWAS examines millions of unique single nucleotide polymorphisms (SNPs) for their phenotypic traits and In the context identifying complex associations large patient cohorts, this type study involves vast amount clinical data. order analyze these datasets efficiently we have developed Genetic Output Analysis Tool (GOAT) improve visualization annotation GOAT offers interactive search capabilities results via specific queries significant between multiple SNPs phenotypes. was designed be scalable operate on top "Big Data" technologies. The software interface researchers new tools help It is programmed python can connected directly any database using an Apache server. This paper outlines some GOAT's leading features characteristics compares them existing open source such as Locus Zoom Integrative Genomics Viewer (IGV). We also present future development plans provide with improved performance, ability mine data most interesting relevant information from