High throughput automated system for next generation sequencing (NGS) library preparation (360G-Wellcome-218274_Z_19_Z)
The requested Hamilton NGS Star automated liquid handling workstation enables high-throughput automated preparation of sequencing libraries which enables basic and clinical UCL researchers to process increasing sample numbers in a consistent, reproducible and timely manner. The proposed instrument and associated auxiliary equipment includes all the necessary hardware and software and is a fully walk-away system with a capability of processing up to 96 samples per run. Special features include air displacement pipetting using CO-RE (Compressed O-Ring Expansion) technology which provides superior measurement accuracy, precision and reproducibility without aerosol generation during pick-up and ejection, reducing the possibility of cross-contamination. Each aspirate and dispense step is dynamically tracked for confidence that the indexed and multiplexed samples are processed according to the workflow. The system also includes automated barcode reading to enable sample traceability, software with file handling capabilities and on-deck thermal cycling and cooling components for custom work flows to be fully automated. It is an open system which provides flexibility to customize workflows for specific NGS applications and develop new protocols and the scope to automate downstream processes on the same platform. The equipment will directly support £20M of Wellcome Trust-funded research through the generation of up to 15,000 NGS libraries.
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Grant Details
Amount Awarded | 247322 |
Applicant Surname | Beck |
Approval Committee | Multi-User Equipment and Technology Development Committee |
Award Date | 2019-07-04T00:00:00+00:00 |
Financial Year | 2018/19 |
Grant Programme: Title | Multi-User Equipment Grant |
Internal ID | 218274/Z/19/Z |
Lead Applicant | Prof Stephan Beck |
Other Applicant(s) | Dr Nicholas McGranahan, Dr Nischalan Pillay, Dr Pawan Dhami, Prof Adrienne Flanagan, Prof Charles Swanton, Prof Finn Werner, Prof Jürg Bähler, Prof Mahdad Noursadeghi, Prof Sarah Tabrizi |
Partnership Value | 247322 |
Planned Dates: End Date | 2024-09-30T00:00:00+00:00 |
Planned Dates: Start Date | 2019-10-01T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | Greater London |