Additional Sanger Sequencing and qPCR data to PSCNL samples
Sanger sequencing and RT-qPCR data for validation used in Primary lymphomas of the central nervous system (PCNSL).
- 1 sample
- DAC: EGAC00001002191
Policy contains the data transfer agreement in use at the German Cancer Research Center for the Hipo-Part of the PCNSL data
To request access to the dataset please start a Data Access Request via the EGA DAC Portal. You will receive a HIPO DACO Info Form by email to collect information about the request, which has to be filled completely and signed by your PI. Your request will be evaluated by the responsible Data Access Committee (DAC) and our Data protection department (and innovation management if required). As soon as a positive decision is made, you will be provided with a data transfer agreement (DTA). After the DTA has been fully signed, access to the requested data is granted. To ensure that the process can be completed as quickly as possible, please note the following points: 1. The request in the EGA portal must be made by the responsible PI. 2. The information in the EGA portal must match the information on the HIPO DACO Info Form. In particular, the email address and the requested data sets must match. It is also important that all requested data sets are also listed on the HIPO DACO Info Form. For-profit companies are charged a fee per request.
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 |
---|---|---|
EGAS00001005339 | 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 | |
---|---|---|---|---|
EGAF00005811549 | tar.gz | 77.0 MB | ||
EGAF00005811550 | tar.gz | 240.5 MB | ||
2 Files (317.5 MB) |