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nanoCUSA

This study aims to provide raw nanopoore sequencing data from tumor samples obtained during neurosurgery using a Cavitating Ultrasonic Aspirator. Acquired data with a subsequent neural network classifier with nanopore-specific diagnostic score thresholds assures high specificity while achieving acceptable sensitivity.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD50000000269 MinION 21