DeTiN: overcoming tumor-in-normal contamination
Related Experiment Video
Updated: Feb 8, 2026

Generating and Imaging Mouse and Human Epithelial Organoids from Normal and Tumor Mammary Tissue Without Passaging
Published on: November 11, 2022
Amaro Taylor-Weiner1,2, Chip Stewart1, Thomas Giordano3
1Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Abstract:
Comparison of sequencing data from a tumor sample with data from a matched germline control is a key step for accurate detection of somatic mutations. Detection sensitivity for somatic variants is greatly reduced when the matched normal sample is contaminated with tumor cells. To overcome this limitation, we developed deTiN, a method that estimates the tumor-in-normal (TiN) contamination level and, in cases affected by contamination, improves sensitivity by reclassifying initially discarded variants as somatic.
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