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PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files.
Zhang, Chi; Dong, Shan-Shan; Xu, Jun-Yang; He, Wei-Ming; Yang, Tie-Lin.
Afiliación
  • Zhang C; Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
  • Dong SS; BGI Genomics, BGI-Shenzhen, Shenzhen, China.
  • Xu JY; Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
  • He WM; BGI Genomics, BGI-Shenzhen, Shenzhen, China.
  • Yang TL; Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Bioinformatics ; 35(10): 1786-1788, 2019 05 15.
Article en En | MEDLINE | ID: mdl-30321304
ABSTRACT
MOTIVATION Linkage disequilibrium (LD) decay is of great interest in population genetic studies. However, no tool is available now to do LD decay analysis from variant call format (VCF) files directly. In addition, generation of pair-wise LD measurements for whole genome SNPs usually resulting in large storage wasting files.

RESULTS:

We developed PopLDdecay, an open source software, for LD decay analysis from VCF files. It is fast and is able to handle large number of variants from sequencing data. It is also storage saving by avoiding exporting pair-wise results of LD measurements. Subgroup analyses are also supported. AVAILABILITY AND IMPLEMENTATION PopLDdecay is freely available at https//github.com/BGI-shenzhen/PopLDdecay.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Programas Informáticos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Programas Informáticos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: China