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tarSVM paper published

posted Jul 19, 2016, 5:26 AM by Matthew Sampson   [ updated Aug 14, 2017, 10:54 AM by Kalyn Yasutake ]
Congrats to Chris Gillies for leading this study, in which we designed a novel method, tarSVM, to more accurately identify variants emerging from amplicon sequencing pipelines. Had a great time collaborating with investigators at Columbia, NCI, and University of KwaZulu Natal in South Africa on this project. As Chris noted in the conclusion, "tarSVM increases the accuracy of variant calling when using microfluidic PCR based targeted sequencing approaches. This results in higher confidence downstream analyses, and ultimately reduces the costs Sanger validation. Our approach is less labor intensive than existing approaches, and is available as an open source pipeline for read trimming, aligning, variant calling, and variant quality filtering on GitHub at https://github.com/christopher-gillies/TargetSpecificGATKSequencingPipeline."
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