Data Service
Data Access to Controlled Data
How to apply
Controlled Data by The European Genome-phenome Archive (EGA)
Application documents should be completed and returned to the Data Access Committee of the University of Cologne (DAC-info[at]uni-koeln.de). Applications will only be accepted electronically. Any queries regarding access procedures or completion of the forms should be sent to this address.
Technical problems with the EGA download should be reported directly to the EGA Helpdesk.
For User Institutions located in the EU/EEA:
Application requires the completion of a Data Access Request Form for all requested data sets and a Data Access Agreement for each data set and must be signed by the legal entity with which you are affiliated (signed and stamped, no electronic signature). Additionally, our DAC needs a document providing proof that the applicant is working in a scientific organization (signed and stamped by an authority of the organization). Applications can include collaborators, but each Institution has to submit its own application.
For User Institutions located outside the EU/EEA:
User Institutions located outside the EU/ EEA (European Economic Area) are requested to fill in the Data Access Request Form for all requested data sets, the Data Access Agreement for each data set and additionally enter into the Standard Contractual Clauses for the transfer of personal data to third countries. All forms must be signed by the legal entity with which you are affiliated (signed and stamped, no electronic signature). Additionally, our DAC needs a document providing proof that the applicant is working in a scientific organization (signed and stamped by an authority of the organization). Applications can include collaborators, but each Institution has to submit its own application.
For users outside the EU/EEA - additional to DTA and Data Request Form: Standard Contractual Clauses according to GDPR
EGAS00001000299
Peifer et al. 2012, Nature Genetics, Integrative analysis of small cell lung cancer
EGAS00001000647
CLCGP and NGM, 2013, A Genomics-Based Classification of Human Lung Tumors
EGAS00001000650
Fernandez-Cuesta et al. 2014, Frequent mutations in chromatin-remodelling genes in pulmonary carcinoids
EGAS00001000653
Fernandez-Cuesta et al. 2014, CD74-NRG1 fusions in lung adenocarcinoma
EGAS00001000659
Fernandez-Cuesta et al. 2015, Identification of novel fusion genes in lung cancer using breakpoint assembly of transcriptome sequencing data
EGAS00001000708
George et al. 2018, Integrative genomic profiling of large-cell neuroendocrine carcinomas reveals distinct subtypes of high-grade neuroendocrine lung tumors.
EGAS00001000925
George et al. 2015, Comprehensive genomic profiles of small cell lung cancer
EGAS00001002115
Mollaoglu G et al. 2017, MYC Drives Progression of Small Cell Lung Cancer to a Variant Neuroendocrine Subtype with Vulnerability to Aurora Kinase Inhibition.
EGAS00001002853
Drapkin et al. 2018, Genomic and functional fidelity of small cell lung cancer patient-derived xenografts.
EGAS50000000169
George et al. 2024, Evolutionary Trajectories of Small Cell Lung Cancer under Therapy
Open Access Data
Data sets with open access can be found here.