GWAS in a box: statistical and visual analytics of structured associations via GenAMap.

ABSTRACT: With the continuous improvement in genotyping and molecular phenotyping technology and the decreasing typing cost, it is expected that in a few years, more and more clinical studies of complex diseases will recruit thousands of individuals for pan-omic genetic association analyses. Hence, there is a great need for algorithms and software tools that could scale up to the whole omic level, integrate different omic data, leverage rich structure information, and be easily accessible to non-technical users. We present GenAMap, an interactive analytics software platform that 1) automates the execution of principled machine learning methods that detect genome- and phenome-wide associations among genotypes, gene expression data, and clinical or other macroscopic traits, and 2) provides new visuali

SUBMITTER: Xing EP 

PROVIDER: S-EPMC4048179 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature