GEO DataSets

(Submitter supplied) Chromosomal copy number variations (CNV) have been associated with various neurological and developmental disorders and chromosomal microarray (CMA) is a method of choice to diagnose Copy Number Gain/Loss syndromes. Recently, next-generation sequencing (NGS)-based low-coverage whole genome sequencing (LC-WGS) has been applied to detect Copy Number Gain/Loss syndromes. This dataset is intended to be used as a “Golden standard data set” for development of LC-WGS analysis method. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; Genome variation profiling by genome tiling array

Platforms:

GPL18637 GPL16131

83 Samples

Download data: CEL, CYCHP

(Submitter supplied) #CytoScan750K_Array.cn.na32.3.annot.csv #%create_date=2012-11-27 GMT-08:00 16:16:00 #%chip_type=CytoScan750K_Array #%genome-species=Homo sapiens #%genome-version=hg19 #%genome-version-ucsc=hg19 #%genome-version-ncbi=37 #%genome-version-create_date=2009-02-00 #%dbSNP_date=2010-09-23 #%dbSNP_version=132 #%dgv-date=2010-10-00 #%dgv-version=10 #%hapmap-date=2008-01-08 #%hapmap-version=23 #%netaffx-annotation-date=2012-11-05 #%netaffx-annotation-netaffx-build=32.3 #CytoScan750K_Array.na32.3.annot.csv #%create_date=2012-11-27 GMT-08:00 16:17:00 #%chip_type=CytoScan750K_Array #%genome-species=Homo sapiens #%genome-version=hg19 #%genome-version-ucsc=hg19 #%genome-version-ncbi=37 #%genome-version-create_date=2009-02-00 #%dbSNP_date=2010-09-23 #%dbSNP_version=132 #%dgv-date=2010-10-00 #%dgv-version=10 #%hapmap-date=2008-01-08 #%hapmap-version=23 #%netaffx-annotation-date=2012-11-05 #%netaffx-annotation-netaffx-build=32.3 Protocol: see manufacturer's web site

Organism:

Homo sapiens

45 Series

1549 Samples

Download data: CSV