About file location

As the EGA is co-managed by the EMBL-EBI and CRG, files could be located in the UK and/or Spain, as indicated by their respective flags.

Alternatively, files could be located in one of the international Federated EGA nodes, as indicated next to the node's flag.
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Single-cell genome and transcriptome profiling of high-grade serous ovarian cancer

This dataset contains joint single-cell whole-genome sequencing (scWGS) and mRNA sequencing data generated using DNTR-seq from 4 high-grade serous ovarian cancer samples. Approximately 500 quality-controlled single cells per patient were profiled, with DNA and RNA libraries sequenced separately but derived from the same individual cells. Raw sequencing files are provided in FASTQ format and enable analysis of subclonal copy number alterations, gene dosage effects, and transcriptional heterogeneity.

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DUO:0000007
version: 2019-01-07

disease specific research

This data use permission indicates that use is allowed provided it is related to the specified disease.

ModifiersMONDO:0004992

DUO:0000026
version: 2019-01-07

user specific restriction

This data use modifier indicates that use is limited to use by approved users.

DUO:0000027
version: 2019-01-07

project specific restriction

This data use modifier indicates that use is limited to use within an approved project.

DUO:0000028
version: 2019-01-07

institution specific restriction

This data use modifier indicates that use is limited to use within an approved institution.

The data can only be used for cancer research that is inline with the research areas delineated in the patient consent. These include cancer biomarkers, prognostic factors, mechanisms behind the tumor evolution during treatment and treatment options. The data can also be used for validation of studies published by the contributing consortia (MUPETFaasi2, HERCULES, CHEMORESPONSE).

The data can only be used for cancer research that is inline with the research areas delineated in the patient consent. These include cancer biomarkers, prognostic factors, mechanisms behind the tumor evolution during treatment and treatment options. The data can also be used for validation of studies published by the contributing consortia (MUPETFaasi2, HERCULES, CHEMORESPONSE). See link for full description

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS50000001643 Transcriptome Sequencing

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Quality Report
Located in
i
EGAF00009001063 fq.gz 4.8 GB
EGAF00009001064 fq.gz 8.9 GB
EGAF00009001065 fq.gz 17.7 GB
EGAF00009001066 fq.gz 15.5 GB
EGAF00009001067 fq.gz 16.1 GB
EGAF00009001068 fq.gz 17.5 GB
EGAF00009001069 fq.gz 3.9 GB
EGAF00009001070 fq.gz 23.5 GB
EGAF00009001071 fq.gz 21.9 GB
EGAF00009001072 fq.gz 22.9 GB
EGAF00009001073 fq.gz 22.2 GB
EGAF00009001074 fq.gz 25.7 GB
EGAF00009001075 fq.gz 8.8 GB
EGAF00009001076 fq.gz 21.8 GB
EGAF00009001077 fq.gz 28.5 GB
EGAF00009001078 fq.gz 19.6 GB
16 Files (279.3 GB)