Your browser doesn't support javascript.

Biblioteca Virtual em Saúde

Brasil

Home > Pesquisa > ()
Imprimir Exportar

Formato de exportação:

Exportar

Email
Adicionar mais destinatários
| |

Ferret: a user-friendly Java tool to extract data from the 1000 Genomes Project.

Limou, Sophie; Taverner, Andrew M; Winkler, Cheryl A.
Bioinformatics; 32(14): 2224-6, 2016 07 15.
Artigo em Inglês | MEDLINE | ID: mdl-27153588
UNLABELLED: The 1000 Genomes (1KG) Project provides a near-comprehensive resource on human genetic variation in worldwide reference populations. 1KG variants can be accessed through a browser and through the raw and annotated data that are regularly released on an ftp server. We developed Ferret, a user-friendly Java tool, to easily extract genetic variation information from these large and complex data files. From a locus, gene(s) or SNP(s) of interest, Ferret retrieves genotype data for 1KG SNPs and indels, and computes allelic frequencies for 1KG populations and optionally, for the Exome Sequencing Project populations. By converting the 1KG data into files that can be imported into popular pre-existing tools (e.g. PLINK and HaploView), Ferret offers a straightforward way, even for non-bioinformatics specialists, to manipulate, explore and merge 1KG data with the user's dataset, as well as visualize linkage disequilibrium pattern, infer haplotypes and design tagSNPs. AVAILABILITY AND IMPLEMENTATION: Ferret tool and source code are publicly available at http://limousophie35.github.io/Ferret/ CONTACT: ferret@nih.gov SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Selo DaSilva