Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Museomics and phylogenomics of lovebirds (Psittaciformes, Psittaculidae, Agapornis) using low-coverage whole-genome sequencing

PROVIDER: PRJNA971241 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24579542_1.fastq.gz	Fastqsanger.gz
	SRR24579542_2.fastq.gz	Fastqsanger.gz
	SRR24579543_1.fastq.gz	Fastqsanger.gz
	SRR24579543_2.fastq.gz	Fastqsanger.gz
	SRR24579544_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 97

Similar Datasets

Chromosomal microarray analysis for validation of the WGS-based CNV detection results in recurrent miscarriage couples

Project description:In order to validate of CNV detection from low-coverage whole-genome sequencing in the blood samples from recurrent miscarriage couples, we employed a customized array Comparative Genomics Hybridization (aCGH, Agilent) approach as chromosomal microarray analysis (CMA) in present study for a cohort of 78 DNA samples from blood. CMA results were compared with low-coverage whole-genome sequencing detection results. 100% consistency was obtained in pathogenic or likely pathogenic CNVs detection.

2017-11-01 | GSE83941 | GEO

Acute deletion of TET enzymes results in aneuploidy in mouse embryonic stem cells through decreased expression of Khdc3 (Whole Genome Sequencing [Low Coverage])

Project description:Low coverage whole genome sequencing (lc-WGS) from inducible Tet TKO (Tet iTKO) and control (Ctrl) mouse ESCs (mESC), as well as for germline Dnmt TKO mESCs. mESCs were sorted to isolate the Live/Dead dye and Thy1.2 negative CD326+GFP+ population representing the mESCs populations responsive to the tamoxifen treatment. The cells were resuspended in FACS buffer and filtered with a 70 µM filter before sorting. These bulk-population samples were analyzed by using low coverage Whole Genome Sequencing (lc-WGS).

2022-10-01 | GSE214402 | GEO

Identification of driver genes in uterine leiomyosarcoma: low-coverage WGS

Project description:Low coverage whole-genome sequencing have been performed on uterine leiomyosarcoma to uncovered novel potential driver genes and recurrently affected pathways.

2018-07-02 | E-MTAB-5763 | biostudies-arrayexpress

Copy number analysis by low coverage whole genome sequencing using ultra low-input DNA from formalin-fixed paraffin embedded tumour tissue

Project description:We analysed a cohort of Lifepool IDC cases treated only with wide local excision for genome-wide copy number and loss of heterozygosity using Affymetrix OncoScan® MIP arrays. Cases included IDC (n=4).Benign cases were available for 2 cases. We have analysed copy number calling from the same samples using low-coverage whole genome sequencing in order to investigate the concordance between the two techniques.

2016-08-02 | GSE85035 | GEO

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

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

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

| PRJEB11267 | ENA

Project description:Ostrea edulis Low-Coverage Whole Genome Sequencing

| PRJNA1029395 | ENA

Project description:low coverage whole genome sequencing Greenland Halibut

| PRJNA737354 | ENA

A multicenter translational biomarker phase II trial of regorafenib in patients with non-resectable pretreated colorectal cancer.

Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS). Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).

| 2533916 | ecrin-mdr-crc