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Oxford location
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Edmund Cartwright House, 4 Robert Robinson Avenue
Oxford Science Park, Oxford, OX4 4GA, UK

Tel: +44 (0)845 034 7900 | Fax: +44 (0)845 034 7901

Cambridge location
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Suite 4, The Mansion, Chesterford Research Park
Little Chesterford, Essex, CB10 1XL, UK

Tel: +44 (0)845 034 7900 | Fax: +44 (0)845 034 7901

Contact us

If you have any enquires or questions, feel free to get in touch with Oxford Nanopore.

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Apply to the MAP

The MinION™ Access Programme (MAP) is a community-focused access project which started in Spring 2014. The philosophy of the MAP is to enable a broad range of people to explore how the MinION may be useful to them, to contribute to developments in analytical tools and applications and to share their experiences and collaborate. Listening to this community helps Oxford Nanopore provide continuous improvements to our products and support. To apply to join the MAP click here.

Run until... sufficient data

The GridION™  system and MinION™ device are designed to enable users to run an experiment until sufficient data has been collected to reach a predetermined experimental endpoint. In contrast, other molecular analysis systems have a fixed analysis time, or ‘run time’ that delivers a surged batch of data at the end of that run. In such cases the user is forced to design the experiment to fit the machine that the analysis is performed on.

Conversely, by making use of the properties of nanopore sensing and rapid electronic measurement, users can instruct GridION nodes or the MinION to monitor their own data output and look for key application-specific results. These results may be used to alter or optimise the behaviour of the instruments in real time, or simply stop them when the experiment is known to have been completed. For example, a node or a cluster of GridION nodes can be instructed, through on-board software, to Run until... a certain datum has been seen a certain number of times at a specified confidence level. In this way, the experiment is defined by the user, not defined by the machine.

Using the multi-well plate-adapted cartridge allows the system to process a series of experiments autonomously on different samples; the system simply runs one sample from the first well, and once completed, the node can automatically move onto the next sample to run another experiment.

A node or a cluster of nodes can be instructed to Run until... certain user-specified criteria have been met, for example:
•    DNA sequencing: the GridION system may process the sample until they have seen a minimum of tenfold read coverage over specified regions of interest, until a specific mutation has been observed in a sample or until enough sequence data has been collected to reliably assemble a sample against a reference.
•    Protein analysis: the GridION system may process the sample until the presence of a specific analyte has been determined to a certain confidence level, and process the sample further to determine its concentration.
•    Small molecules: the GridION system may process the sample until it has determined that a specific analyte (for example a reactive molecule such as an explosive) was NOT present in the solution, to a pre-set confidence level.

Some of these completion criteria can be set and measured by the on-board software, while others can be programmed into real-time analysis workflows running on separate computing. Because data is streamed from the system in real time, whole end-to-end real-time informatics can be run in parallel to the data generation.

During the experiment, data about the analyte is streamed in real time from the nodes. This can be supplied to software services on the user's system for real-time bioinformatic analyses during the experiment. These analyses can monitor for key success criteria. The system can then feed back, through the node's or cluster's API, to instruct the systems to stop when the application has been successful, or to adapt other settings in order to make it successful.

This has the added benefit that the user can monitor system performance and experimental progress in real time and use this information to make changes to the system during an experiment. It also means there is no wait at the end of the run for a large data file to be processed by a bioinformatics pipeline.