phenoman

Authors Biao Li, Baylor College of Medicine Gao Wang, Baylor College of Medicine Suzanne M. Leal, Baylor College of Medicine Acknowledgment Development of PhenoMan was supported by the NHLBI Exome Sequencing Project, the Minority Health GRID project, and the Centers for Mendelian Genomics. Introduction Recently, the next generation sequencing and other high-throughput technology advances to promote great interest in detecting associations between complex phenotypic traits and genetic variants. Phenotype quality control procedure is crucial and could be a complicated issue that can largely impact association analysis results. Although various decisions are likely to be made on different traits, there is lacking a simple, effective and uniformed wa

pheno_man
.DS_Store
__init__.py
__init__.pyc
pheno_man.py
pheno_man.pyc
str4r.py
str4r.pyc
phenoman
setup.py