Next Generation Sequencing
Why improve NGS in the era of the $1000 genome? The next step is population genomics to realize the full potential of Big Data and AI for accurate diagnosis and personalized treatments, but it can only be enabled with substantially faster and cheaper sequencing to generate the amount of data needed.
Single’s technology both speeds up the sequencing and brings down the cost for the chemistry. The efficiency is increased in every part of the process, with fast large area, single molecule sensitive and diffraction limited scanning, rapid exchange of liquids and less need of reagents, and new methods for dense patterning of substrate surfaces.
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Common applications when throughput matters
In order to develop effective early detection tests, one has to collect data from tens of thousands of people so that machine learning algorithms can distinguish between people with and without cancer for example.
Single cell sequencing
Single cell sequencing has fueled new discoveries critical in disease and uncovered previously unrecognized cell types.
Ultra deep next-generation sequencing, involves reading a region of DNA 50,000 times, on average, to detect low-frequency variants.