Circular RNA characterization in functionally distinct brain regions
RNA extracted from middle temporal gyrus (MG) brain region of healthy elderly controls. Three pairs of samples were generated, each pair consisting of one sample that was enriched for circular RNAs using RNase R, and a second sample that was not enriched (total N=6). Remaining samples in the study from other functionally distinct brain regions are currently under process and will be released soon.
- 6 samples
- DAC: EGAC00001000973
- Technology: Illumina HiSeq 4000
Circular RNA characterization in functionally distinct brain regions
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If requested, the User Institution will allow data security and management documentation to be inspected by TGen to verify that it is complying with the terms of this agreement. 18. The User Institution agrees to distribute a copy of these terms to all Authorized Personnel and require the Authorized Personnel to comply with the terms of this agreement. 19. This agreement (and any dispute, controversy, proceedings or claim of whatever nature arising out of this agreement or its formation) shall be construed, interpreted and governed by the laws of the state of New York, without reference to its conflicts of law provisions. Agreed for User Institution (Signatory Official) Signature: Name: Title: Date: Principal Investigator I confirm that I have read and understood this Agreement. Signature: Name: Title: Date: Agreed for TGen Signature: Name: Stephanie Buchholtz, MS Title: Director, Office of Research Compliance & Quality Mgmt Date: APPENDIX I – DATASET DETAILS APPENDIX II ––PROJECT DETAILS APPENDIX III –– PUBLICATION POLICY APPENDIX I – DATASET DETAILS Dataset reference (EGAS00001003128 and Dataset Details) EGAS00001003128 Dataset maintained by the Translational Genomics Research Institute. Name of project that created the dataset Circular RNA characterization in functionally distinct brain regions Names of other data producers/collaborators Illumina Specific limitations on areas of research No specific limitations set Minimum protection measures required The Approved User, their User Institution and all Authorized Users agree to handle the data according to the current NIH Security Best Practices for Controlled-Access Data Subject to the NIH Genomic Data Sharing (GDS) Policy (09MAR2015). File access Data can be held in unencrypted files on an institutional compute system, with Unix user group read/write access for one or more appropriate groups but not Unix world read/write access behind a secure firewall. Laptops holding these data should have password protected logins and screen locks (set to lock after 5 min of inactivity). If held on USB keys or other portable hard drives, the data must be encrypted. APPENDIX II – PROJECT DETAILS (to be completed by the Approved User) Details of dataset requested i.e., EGA Study and Dataset Accession Number EGAS____________________ Dataset maintained by the Translational Genomics Research Institute. Name of Principal Investigator Email Job Title User Institution Brief abstract of the Project in which the Data will be used (500 words max) All Individuals who the User Institution requests to be named as Authorized Personnel (add rows as needed) Name of Authorized Personnel Email Job Title Supervisor* All Individuals that should have an account created at the EGA Name of Authorized User Email Job Title APPENDIX III – PUBLICATION POLICY In any publications based on these Data, please describe how the Data can be accessed, including the name of the hosting database (e.g., The European Genome-phenome Archive at the European Bioinformatics Institute) and its accession numbers (EGAS______________), and acknowledge its use in a form agreed by the User Institution with TGen.
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 |
---|---|---|
EGAS00001003128 | 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.