pyGenClean: efficient tool for genetic data clean up before association testing.
Bioinformatics
; 29(13): 1704-5, 2013 Jul 01.
Article
em En
| MEDLINE
| ID: mdl-23652425
ABSTRACT
UNLABELLED Genetic association studies making use of high-throughput genotyping arrays need to process large amounts of data in the order of millions of markers per experiment. The first step of any analysis with genotyping arrays is typically the conduct of a thorough data clean up and quality control to remove poor quality genotypes and generate metrics to inform and select individuals for downstream statistical analysis. We have developed pyGenClean, a bioinformatics tool to facilitate and standardize the genetic data clean up pipeline with genotyping array data. In conjunction with a source batch-queuing system, the tool minimizes data manipulation errors, accelerates the completion of the data clean up process and provides informative plots and metrics to guide decision making for statistical analysis. AVAILABILITY AND IMPLEMENTATION pyGenClean is an open source Python 2.7 software and is freely available, along with documentation and examples, from http//www.statgen.org.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
/
Estudos de Associação Genética
/
Técnicas de Genotipagem
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Bioinformatics
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2013
Tipo de documento:
Article
País de afiliação:
Canadá