OICR Team Describes 2D Pooling to Find Rare Variants in NGS Data More Efficiently and at Lower Cost | GenomeWeb

NEW YORK (GenomeWeb) — A team from the Ontario Institute for Cancer Research has published a study demonstrating that a two-dimensional sample pooling strategy can allow rare variants in pooled sequencing data to be traced back to their sample of origin.

In this way, researchers can combine samples to increase the efficiency and decrease the cost of sequencing without losing the ability to match any discovered rare variants back to an individual patient's sample.

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