Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Undefined

ABSTRACT: Imputation of historical horse genomes

PROVIDER: PRJEB61662 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR11673600.fastq.gz	Fastqsanger.gz
	ERR11673601.fastq.gz	Fastqsanger.gz
	ERR11673602.fastq.gz	Fastqsanger.gz
	ERR11673510_1.fastq.gz	Fastqsanger.gz
	ERR11673510_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 138

Similar Datasets

Identification of copy number variants in horses

Project description:Custom exon aCGH analysis of copy number across the genomes of 16 horse breeds

2011-10-08 | GSE32702 | GEO

Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arrays

Project description:Low-pass sequencing (sequencing a genome to an average depth less than 1× coverage) combined with genotype imputation has been proposed as an alternative to genotyping arrays for trait mapping and calculation of polygenic scores. To empirically assess the relative performance of these technologies for different applications, we performed low-pass sequencing (targeting coverage levels of 0.5× and 1×) and array genotyping (using the Illumina Global Screening Array (GSA)) on 120 DNA samples derived from African and European-ancestry individuals that are part of the 1000 Genomes Project. We then imputed both the sequencing data and the genotyping array data to the 1000 Genomes Phase 3 haplotype reference panel using a leave- one-out design. We evaluated overall imputation accuracy from these different assays as well as overall power for GWAS from imputed data, and computed polygenic risk scores for coronary artery disease and breast cancer using previously derived weights. We conclude that low-pass sequencing plus imputation, in addition to providing a substantial increase in statistical power for genome wide association studies, provides increased accuracy for polygenic risk prediction at effective coverages of ∼ 0.5× and higher compared to the Illumina GSA.

2021-01-31 | GSE165845 | GEO

Identification of copy number variants in horses

Project description:Custom exon aCGH analysis of copy number across the genomes of 16 horse breeds Two-condition experiment, All breed samples were compared to a single Thoroughbred reference, Reference was then compared to Twilight (DNA from horse used for reference genome assembly)

2011-10-07 | E-GEOD-32702 | biostudies-arrayexpress

undefined

Project description:Genomes description

| PRJEB56209 | ENA

undefined

Project description:Enterococcus mundtii genomes

| PRJEB51090 | ENA

undefined

Project description:Recovery of genomes of novel metagenome assembled genomes via SingleM / Sandpiper

| PRJEB64526 | ENA

undefined

Project description:Loxodes magnus nuclear genomes