Data Access to Controlled data

How to apply

Controlled Data by The European Genome-phenome Archive (EGA)

An Application Form for access to the data should be completed and returned to the Data Access Committee of the University of Cologne ( will only be accepted electronically. Any queries regarding access procedures or completion of the forms should be sent to this address.

Access to the data will require the completion of a Data Access Request 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 must submit the signed documents.

User Institutions located outside the EU/ EEA (European Economic Area) are requested to additionally enter into the Standard Contractual clauses for the transfer of personal data to third countries. The appendix must be completed and signed: Standard Contractual Clauses according to GDPR, Art. 46, 2, lit. c  for Users outside the EU/EEA [PDF]

Available Data set:

Peifer et al. 2012, Nature Genetics, Integrative analysis of small cell lung cancer: EGAS00001000299: Data Access Agreement [PDF], Data Access Request [PDF]

CLCGP and NGM, 2013, A Genomics-Based Classification of Human Lung Tumors: EGAS00001000647: Data Access Agreement [PDF], Data Access Request [PDF]

Fernandez-Cuesta et al. 2014, CD74-NRG1 fusions in lung adenocarcinoma:
EGAS00001000653: Data Access Agreement [PDF], Data Access Request [PDF]

Fernandez-Cuesta et al. 2014, Frequent mutations in chromatin-remodelling genes in pulmonary carcinoids:
EGAS00001000650: Data Access Agreement [PDF], Data Access Request [PDF]

Fernandez-Cuesta et al. 2015, Identification of novel fusion genes in lung cancer using breakpoint assembly of transcriptome sequencing data: EGAS00001000659: Data Access Agreement [PDF], Data Access Request [PDF]

George et al. 2015, Comprehensive genomic profiles of small cell lung cancer:
EGAS00001000925: Data Access Agreement [PDF], Data Access Request [PDF]

Mollaoglu G et al. 2017, MYC Drives Progression of Small Cell Lung Cancer to a Variant Neuroendocrine Subtype with Vulnerability to Aurora Kinase Inhibition.
EGAS00001002115: Data Access Agreement [PDF], Data Access Request [PDF]

George et al. 2018, Integrative genomic profiling of large-cell neuroendocrine carcinomas reveals distinct subtypes of high-grade neuroendocrine lung tumors.
EGAS00001000708: Data Access Agreement [PDF], Data Access Request [PDF]

Drapkin et al. 2018, Genomic and functional fidelity of small cell lung cancer patient-derived xenografts.
EGAS00001002853: Data Access Agreement [PDF], Data Access Request [PDF]

Open Access Data

Data for open access can be found here:

Software developed in the course of the Department of Translational Genomics is available for download. Technical queries and feedback should be sent directly to the authors.