Illumina single-cell RNA sequencing of omentum biopsies of ovarian cancer patients

Illumina Novaseq paired-end single-cell RNA sequencing samples prepared using 10X Genomics platform. 3 ovarian cancer patients, 5 omentum biopsies samples: 3 HGSOC metastasis samples (one per patient), 2 healthy samples (one per patient except Patient2). 4 paired fastq files per sample.

5 samples
DAC: EGAC00001003014
Technology: Illumina NovaSeq 6000

Access Policy1 Study Files

Metadata

Request Access

DS DUO:0000007 (version: 2021-02-23)disease specific researchThis data use permission indicates that use is allowed provided it is related to the specified disease.ModifiersMONDO:0004992
NPUNCU DUO:0000018 (version: 2021-02-23)not for profit, non commercial use onlyThis data use modifier indicates that use of the data is limited to not-for-profit organizations and not-for-profit use, non-commercial use.
MOR DUO:0000024 (version: 2021-02-23)publication moratoriumThis data use modifier indicates that requestor agrees not to publish results of studies until a specific date.
NPU DUO:0000045 (version: 2021-02-23)not for profit organisation use onlyThis data use modifier indicates that use of the data is limited to not-for-profit organizations.
NCU DUO:0000046 (version: 2021-02-23)non-commercial use onlyThis data use modifier indicates that use of the data is limited to not-for-profit use.

Data Access Policy of Datasets controlled by MF-DAC

ATTENTION: Please check the following policy and the documents/information to provide in order to get access to the requested datasets. You can find the governing policy on Zenodo under the link: https://zenodo.org/records/12517622 Please provide all information as requested in the document to the MF-DAC. Additionally, you can find more information about the Data Access Committee of the Medical Faculty of the University of Basel (MF-DAC) under the following link on Zenodo: https://zenodo.org/records/10137776

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
EGAS00001006807	Detection of isoforms and genomic alterations by high-throughput full-length single-cell RNA sequencing in HGSOC	Other

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
EGAF00007831910	fastq.gz	199.0 MB
EGAF00007831911	fastq.gz	352.7 MB
EGAF00007831912	fastq.gz	196.7 MB
EGAF00007831913	fastq.gz	354.0 MB
EGAF00007831914	fastq.gz	198.3 MB
EGAF00007831915	fastq.gz	354.6 MB
EGAF00007831916	fastq.gz	198.9 MB
EGAF00007831917	fastq.gz	356.1 MB
EGAF00007831918	fastq.gz	187.8 MB
EGAF00007831919	fastq.gz	334.5 MB
EGAF00007831920	fastq.gz	185.6 MB
EGAF00007831921	fastq.gz	335.8 MB
EGAF00007831922	fastq.gz	187.1 MB
EGAF00007831923	fastq.gz	336.4 MB
EGAF00007831924	fastq.gz	187.6 MB
EGAF00007831925	fastq.gz	337.7 MB
EGAF00007831926	fastq.gz	391.4 MB
EGAF00007831927	fastq.gz	655.3 MB
EGAF00007831928	fastq.gz	391.0 MB
EGAF00007831929	fastq.gz	656.1 MB
EGAF00007831930	fastq.gz	400.5 MB
EGAF00007831931	fastq.gz	669.6 MB
EGAF00007831932	fastq.gz	399.1 MB
EGAF00007831933	fastq.gz	667.8 MB
EGAF00007831934	fastq.gz	564.7 MB
EGAF00007831935	fastq.gz	957.4 MB
EGAF00007831936	fastq.gz	564.5 MB
EGAF00007831937	fastq.gz	959.1 MB
EGAF00007831938	fastq.gz	578.2 MB
EGAF00007831939	fastq.gz	980.1 MB
EGAF00007831940	fastq.gz	576.6 MB
EGAF00007831941	fastq.gz	977.4 MB
EGAF00007831942	fastq.gz	533.2 MB
EGAF00007831943	fastq.gz	900.3 MB
EGAF00007831944	fastq.gz	532.9 MB
EGAF00007831945	fastq.gz	901.8 MB
EGAF00007831946	fastq.gz	545.7 MB
EGAF00007831947	fastq.gz	921.4 MB
EGAF00007831948	fastq.gz	543.9 MB
EGAF00007831949	fastq.gz	918.5 MB
40 Files (20.5 GB)