single-cell RNA sequencing of human lung epithelial cells
Single-cell RNA seq data of epithelial cells ((EpCAM-enriched by FACS) isolated from cryopreserved human lung tissue (3 samples, 3 donors)
- 3 samples
- DAC: EGAC00001002032
- Technology: NextSeq 550
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DATA ACCESS AGREEMENT between BioMed X GmbH and [User Institution] THIS DATA ACCESS AGREEMENT (the "Agreement") is entered into as of [Date] BETWEEN: (1) BioMed X GmbH, a company registered in Germany under number HRB 716390 at the Local Court of Mannheim (Amtsgericht Mannheim) whose registered address is Im Neuenheimer Feld 515, 69120 Heidelberg, Germany; – hereinafter referred to as "BioMed X" – (2) [User Institution], [Address] – hereinafter referred to as "User Institution" – The parties listed in no. (1) to (2) above are also referred to collectively as the "Parties" and each as a "Party". NOW IT IS AGREED as follows: 1. DEFINED TERMS In this Agreement, except where set forth otherwise, the following terms shall have the following meanings: (a) "Authorised Personnel" shall mean the individuals at the User Institution to whom BioMed X grants access to the Data. 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Appendix II - Project Details Details of dataset requested i.e., EGA Study and Dataset Accession Number Brief abstract of the Project in which the Data will be used (500 words max) All Individuals who the User Institution to be named as Registered Users: Name of Registered User: Email: Job Title: Supervisor: All Individuals that should have an account created at the EGA: Name of Registered User: Email: Job Title: Ethics vote of the competent ethics committee: [To be attached as Exhibit I] Appendix III - Publication Policy BioMed X intends to publish the results of their analysis of this dataset and do not consider its deposition into public databases to be the equivalent of such publications. BioMed X anticipates that the dataset could be useful to other qualified researchers for a variety of purposes. However, some areas of work are subject to a publication moratorium. 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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 |
---|---|---|
EGAS00001004477 | 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 | Located in | |
---|---|---|---|---|
EGAF00003953446 | txt.gz | 3.2 GB | ||
EGAF00003953447 | txt.gz | 6.1 GB | ||
EGAF00003953448 | txt.gz | 2.8 GB | ||
EGAF00003953449 | txt.gz | 5.4 GB | ||
EGAF00003953450 | txt.gz | 2.7 GB | ||
EGAF00003953451 | txt.gz | 5.1 GB | ||
EGAF00003953452 | txt.gz | 2.9 GB | ||
EGAF00003953453 | txt.gz | 5.5 GB | ||
EGAF00003953454 | txt.gz | 3.1 GB | ||
EGAF00003953455 | txt.gz | 5.7 GB | ||
EGAF00003953456 | txt.gz | 2.8 GB | ||
EGAF00003953457 | txt.gz | 5.1 GB | ||
12 Files (50.2 GB) |