Pre and Post BCG treated bulk RNAseq dataset.
We have in total 16 files, technical duplicates of 8 unique samples from Pre and Post BCG samples collected from four non muscle invasive bladder cancer patients. These are bulk RNAseq samples generated by high-throughput sequencing platform.
- 16 samples
- DAC: EGAC00001001832
- Technology: Illumina HiSeq 4000
Institutional Data sharing policy is attached.
DATA SHARING AGREEMENT This Agreement is made on [date] between: (1) SINGAPORE HEALTH SERVICES PTE LTD (UEN 200002698Z), a company incorporated in Singapore with its registered office at 31 Third Hospital Avenue, #03-03 Bowyer Bloc, Singapore 168753 (hereinafter referred to as the “Provider”); and (2) [NAME OF PARTY TWO] (UEN [company’s registration no.]), a company incorporated in [Singapore] with its registered office at [address] (hereinafter referred to as the “Recipient”), (collectively the “Parties” and each a “Party”). Background The Recipient has requested and the Provider is agreeable to grant the Recipient access to / provide the Recipient with a copy of the data more particularly described in Annex A hereto (“Data Set”) for the purpose(s) specifically set out in Annex A (“Purpose”) upon the terms and conditions hereinafter appearing. The Parties hereby agree as follows: 1. The Recipient shall use the Data Set solely for the Purpose. All other uses and disclosures not authorized by this Agreement are prohibited. The Recipient shall not disclose the Data Set to any third party without the Provider’s prior written consent. 2. The Recipient may allow its employees and personnel access to the Data Set exclusively on a need-to-know basis and the Recipient shall ensure that the employees and, personnel to whom the Data Set is disclosed as permitted under this Agreement (collectively “Authorised Recipients” and each an “Authorised Recipient”) keep the Data Set confidential and use Data Set solely for the Purpose. 3. The Recipient shall take all reasonable steps to safeguard the Data Set and exercise at least the same degree of care in respect of the Data Set as it exercises with respect to its own confidential information of like importance which it does not want disclosed to others and in any event no less than reasonable care. 4. The Recipient acknowledges that all information in the Data Set has been de-identified and the Recipient shall not make and shall not permit any attempt at re-identification of the data. The Recipient shall maintain at all material times appropriate governance frameworks and controls to ensure proper handling of the Data Set in accordance with this Agreement. 5. The Recipient acknowledges that the Provider owns all rights, title and interests in the Data Set. Nothing in this agreement will operate to transfer to the Recipient any of the Provider’s rights in the Data Set. 6. Upon completion of the Purpose, the Recipient shall provide to the Provider the deliverables as set out in Annex A (“Deliverables”). 7. A Party shall not use the other Party’s name in any public disclosure without the prior written consent of the named Party. 8. The Recipient acknowledges that the Data Set is supplied on an “as is” basis. The Provider makes no express or implied warranty, including but not limited to any warranty of merchantability or fitness for a particular purpose, in respect of the Data Set. 9. The Provider makes no warranties or representations, express or implied, that the use of the Data Set will not infringe the rights of any third party. 10. To the fullest extent allowed by applicable law, the Provider shall not be liable to the Recipient under any bases of liability, for any loss of revenue or profit, loss of business or business opportunity or loss of goodwill or any indirect, incidental, special or consequential loss incurred by the Recipient arising out of or in connection with this Agreement, even if the Provider had been advised of the possibility of such damage. 11. The Recipient shall indemnify, defend and hold harmless the Provider, its officers, directors, personnel, contractors, agents and employees (the “Indemnitees”) against all liabilities, costs, expenses, damages and losses suffered or incurred by the Indemnitees arising out of or in connection with any claim made against the Indemnitees by a third party arising out of or in connection with the Recipient’s use of the Data Set. 12. The Recipient shall not assign or otherwise transfer any of its rights or obligations under this Agreement without the prior written consent of the Provider. 13. No failure or delay by a Party to exercise any right or remedy provided under this Agreement or by law will constitute a waiver of that or any other right or remedy, nor will it prevent or restrict the further exercise of that or any other right or remedy. No single or partial exercise of such right or remedy will prevent or restrict the further exercise of that or any other right or remedy. 14. No variation of this Agreement shall be effective unless it is in writing and signed by the Parties (or their authorised representatives). 15. This Agreement constitutes the entire agreement between the Parties and supersedes and extinguishes all previous agreements, promises, assurances, warranties, representations and understandings between them, whether written or oral, relating to its subject matter. 16. If any provision or part-provision of this Agreement is or becomes invalid, illegal or unenforceable, it will be deemed modified to the minimum extent necessary to make it valid, legal and enforceable. If such modification is not possible, the relevant provision or part-provision will be deemed deleted. Any modification to or deletion of a provision or part-provision under this clause will not affect the validity and enforceability of the rest of this Agreement. 17. This Agreement may be signed in any number of counterparts, each of which when signed will constitute a duplicate original, but all the counterparts will together constitute the one agreement; except that this Agreement will be of no effect until the counterparts are exchanged. 18. This Agreement and any dispute or claim arising out of or in connection with it or its subject matter or formation (including non-contractual disputes or claims) will be governed by and construed in accordance with the law of Singapore, without regard to its conflict of laws principles. 19. In the event of a dispute arising out of or in connection with this Agreement, including any question regarding its existence, validity or termination, the Parties shall attempt in good faith to settle amicably such dispute within thirty (30) days of commencement of discussions. Any dispute which cannot be resolved amicably shall be referred to and finally resolved by arbitration in Singapore in accordance with the Arbitration Rules of the Singapore International Arbitration Center (“SIAC”) for the time being in force, which rules will be deemed to be incorporated by reference to this clause. The tribunal shall consist of a single arbitrator and the seat of arbitration shall be Singapore. The language of the arbitration shall be in English. The Parties further agree that following the commencement of arbitration, they will attempt in good faith to resolve the dispute through mediation at the Singapore International Mediation Centre (“SIMC”), in accordance with the SIAC-SIMC Arb-Med-Arb Protocol for the time being in force. Any settlement reached in the course of the mediation shall be referred to the arbitral tribunal appointed by SIAC and may be made a consent award on agreed terms. 20. Any notice or other communication required to be served shall be in writing and addressed to the address of the intended recipient as first set out above or to such other address as may have been notified to the sender and may be sent in person or by registered post, courier or facsimile transmission
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 |
---|---|---|
EGAS00001004764 | 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.