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 (DAC-info@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.

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:
https://www.translational-genomics.uni-koeln.de/scientific-resources/

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.