Cargando…
SNPPicker: High quality tag SNP selection across multiple populations
BACKGROUND: Linkage Disequilibrium (LD) bin-tagging algorithms identify a reduced set of tag SNPs that can capture the genetic variation in a population without genotyping every single SNP. However, existing tag SNP selection algorithms for designing custom genotyping panels do not take into account...
Autores principales: | Sicotte, Hugues, Rider, David N, Poland, Gregory A, Dhiman, Neelam, Kocher, Jean-Pierre A |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3096984/ https://www.ncbi.nlm.nih.gov/pubmed/21535878 http://dx.doi.org/10.1186/1471-2105-12-129 |
Ejemplares similares
-
SNP-ChIP: a versatile and tag-free method to quantify changes in protein binding across the genome
por: Vale-Silva, Luis A., et al.
Publicado: (2019) -
Spatial normalization improves the quality of genotype calling for Affymetrix SNP 6.0 arrays
por: Chai, High Seng, et al.
Publicado: (2010) -
GLOSSI: a method to assess the association of genetic loci-sets with complex diseases
por: Chai, High-Seng, et al.
Publicado: (2009) -
SNP haplotype tagging from DNA pools of two individuals
por: Hoh, Josephine, et al.
Publicado: (2003) -
A model-based approach to selection of tag SNPs
por: Nicolas, Pierre, et al.
Publicado: (2006)