Publications by authors named "Katie E Halverson"
Article Synopsis
- Advances in sequencing technology are leading to larger data volumes and reduced costs, facilitating efficient use of sequencers through multiplexed chemistry with index tags.
- However, these pooled processing methods increase the risk of sample contamination, which is especially problematic in cancer testing due to the potential for missing or misreporting crucial genetic variants.
- To address this issue, researchers developed MICon, a contamination detection model that analyzes variant allele frequencies, achieving high accuracy with an area under the receiver-operating characteristic curve of 0.995 in testing with a diverse set of samples.*
