Cargando…
Comparison among three variant callers and assessment of the accuracy of imputation from SNP array data to whole-genome sequence level in chicken
BACKGROUND: The technical progress in the last decade has made it possible to sequence millions of DNA reads in a relatively short time frame. Several variant callers based on different algorithms have emerged and have made it possible to extract single nucleotide polymorphisms (SNPs) out of the who...
Autores principales: | Ni, Guiyan, Strom, Tim M., Pausch, Hubert, Reimer, Christian, Preisinger, Rudolf, Simianer, Henner, Erbe, Malena |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618161/ https://www.ncbi.nlm.nih.gov/pubmed/26486989 http://dx.doi.org/10.1186/s12864-015-2059-2 |
Ejemplares similares
-
Whole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture
por: Ni, Guiyan, et al.
Publicado: (2017) -
Genome Scan for Selection in Structured Layer Chicken Populations Exploiting Linkage Disequilibrium Information
por: Gholami, Mahmood, et al.
Publicado: (2015) -
How imputation can mitigate SNP ascertainment Bias
por: Geibel, Johannes, et al.
Publicado: (2021) -
Population Genomic Analyses Based on 1 Million SNPs in Commercial Egg Layers
por: Gholami, Mahmood, et al.
Publicado: (2014) -
How array design creates SNP ascertainment bias
por: Geibel, Johannes, et al.
Publicado: (2021)