Scaling long-read sequencing throughput and accessibility with deep learning and NVIDIA
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Advances in deep learning and technology are improving the accessibility and throughput of long-read sequencing, a technique used in genomics. This development is enabling more affordable and efficient whole genome sequencing, with potential applications in diagnosing rare diseases and investigating outbreaks. The use of artificial intelligence and new sequencing platforms is reportedly enhancing performance across various genomics tasks, although the specific details and outcomes of these advancements are not entirely clear.
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