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Identification of cis-regulatory mutations generating de novo edges in personalized cancer gene regulatory networks

Whole genome sequencing data on 10 human cancer cell lines

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Policy statement for the whole genome sequencing of 10 cancer cell lines study

This document refers to the data set, EGAS00001002571, which has been submitted to the European Genome Archive (EGA) for the restricted access by legitimate academic institutions that have agreed to comply with the terms of a Data Access Agreement drafted by DAC-CBD. There are a number of steps that a researcher must take to obtain access to this data and the process is overseen by our Data Access Committee, called DAC-CBD and can be contacted through Inge Laeremans (dac.cbd@kuleuven.vib.be). Please be advised that Zeynep Kalender Atak (zeynep.kalender@med.kuleuven.be) is authorized to upload data to the EGA for archiving and distribution as part of your submission process, which will enable approved researchers to have encrypted access to the data. We can confirm that this submission is consistent with the informed consent of the participants of the study or has been granted ethical approval and is in accordance with the applicable laws and regulations.

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
EGAS00001002571 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
EGAF00001745282 bam 117.6 GB
EGAF00001745283 bam 173.7 GB
EGAF00001745284 bam 131.3 GB
EGAF00001745285 bam 119.7 GB
EGAF00001745286 bam 128.7 GB
EGAF00001745287 bam 121.9 GB
EGAF00001745288 bam 128.6 GB
EGAF00001795233 tar 32.9 GB
EGAF00001795234 tar 35.2 GB
EGAF00001795235 tar 38.3 GB
EGAF00001795236 tar 33.1 GB
EGAF00001795237 tar 34.7 GB
EGAF00001795238 tar 34.7 GB
EGAF00001795239 tar 32.3 GB
14 Files (1.2 TB)