Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genomic profiling of EM organoids: low-coverage whole genome sequencing

ABSTRACT: Genomic profiling of EM organoids: low-coverage whole genome sequencing

PROVIDER: PRJEB31277 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR3157990_1.fastq.gz	Fastqsanger.gz
	ERR3157990_2.fastq.gz	Fastqsanger.gz
	ERR3157991_1.fastq.gz	Fastqsanger.gz
	ERR3157991_2.fastq.gz	Fastqsanger.gz
	ERR3157992_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

Genomic profiling of EM organoids: low-coverage whole genome sequencing

Project description:Low-coverage whole genome of endometrium cancer derived organoids. Organoids were established from patients with endometrial diseases and DNA was extracted from low passage number and high passage number and compared with the primary tissue when available to investigate whether organoids retain the same genomic abnormalities and disease-associated features.

2019-06-04 | E-MTAB-7687 | biostudies-arrayexpress

Genomic profiling of EOC organoids: low-coverage whole-genome sequencing

Project description:Genomic profiling of EOC organoids: low-coverage whole-genome sequencing

| PRJEB36093 | ENA

Genomic profiling of EOC organoids: low-coverage whole-genome sequencing

Project description:Organoids were established from patients with ovarian cancer. DNA was extracted from organoids and primary tissue to investigate whether organoids retain the same genomic abnormalities and disease-associated features.

2020-12-01 | E-MTAB-8636 | biostudies-arrayexpress

Genomic profiling of EM organoids by whole-exome sequencing

Project description:Organoids were established from patients with endometrial diseases and DNA was extracted from low passage number and high passage number and compared with the primary tissue when available to investigate whether organoids retain the same genomic abnormalities and disease-associated features.

2019-06-04 | E-MTAB-7688 | biostudies-arrayexpress

Genomic profiling of EM organoids by whole-exome sequencing

Project description:Genomic profiling of EM organoids by whole-exome sequencing

| PRJEB31321 | ENA

Mosquitoes low coverage genome sequencing

Project description:Mosquitoes low coverage genome sequencing

| PRJEB22896 | ENA

Individual Assignment of Adult Diffuse Gliomas into the EM/PM Molecular Subtypes Using a TaqMan Low-Density Array [Taqman Low Density Array]

Project description:Diagnosis of glioma into the hierarchy of human brain development would greatly facilitate mechanistic studies and clinical services in combating glioma. By analysing the multi-dimension big data of glioma genome and clinical manifestations, we have recently developed an EM/PM classification scheme anchored in the brain development and glioma pathogenesis (Sun et al., PNAS 111:3538-3543, 2014). To translate the EM/PM classification into a clinical diagnostic tool, we here designed and validated a TaqMan low-density RT-PCR array (TLDA) and a support vector machine (SVM) based prediction model that enables individual diagnosis of gliomas into the EM/PM subtype with high accuracy and precision. Results of 153 individually diagnosed adult diffuse gliomas of WHO grades II-IV derived from Chinese or Swedish patients confirmed our previous data base investigations: EM and PM gliomas show distinct prognosis, occur at different ages, and harbor mutually exclusive patterns of genomic alterations detected by Sanger sequencing and shallow-coverage whole genome sequencing (WGS). Further, we show that shallow-coverage WGS enabled a systematic identification of clonal and subclonal copy number variations (CNV) in glioma genomes, and the extent and the pattern of CNV can serve as an objective marker of tumor progression in the PM gliomas harboring IDH mutations.

2019-05-21 | GSE131464 | GEO

Krill genome low coverage

Project description:Low coverage sequencing of E. superba, with Illumina and Nanopore reads.

| PRJEB31654 | ENA

Mapping meiotic crossovers in Arabidopsis using low-coverage whole-genome sequencing

Project description:Whole-genome DNA libraries were prepared from a population of just under 100 Col/Ler F1 backcrossed to Col. Low-coverage whole-genome sequencing was used to map meiotic crossovers in this population following the protocol described in Rowan et al., 2015, doi: 10.1534/g3.114.016501.

2015-10-15 | E-MTAB-3926 | biostudies-arrayexpress

Individual Assignment of Adult Diffuse Gliomas into the EM/PM Molecular Subtypes Using a TaqMan Low-Density Array [Human Clariom D array]

2019-05-16 | GSE131273 | GEO