Ontology highlight
ABSTRACT:
SUBMITTER: Lin YJ
PROVIDER: S-EPMC3581137 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
Lin Yen-Jen YJ Chang Chun-Tien CT Tang Chuan Yi CY Hsieh Wen-Ping WP
BioMed research international 20130203
Single nucleotide polymorphism (SNP) data derived from array-based technology or massive parallel sequencing are often flawed with missing data. Missing SNPs can bias the results of association analyses. To maximize information usage, imputation is often adopted to compensate for the missing data by filling in the most probable values. To better understand the available tools for this purpose, we compare the imputation performances among BEAGLE, IMPUTE, BIMBAM, SNPMStat, MACH, and PLINK with dat ...[more]