Estimating sequencing error rates using families

Estimating sequencing error rates using families

Abstract Background As next-generation sequencing technologies make their way into the clinic, knowledge of their error rates is essential if they are to be used to guide patient care. However, sequencing platforms and variant-calling pipelines are continuously evolving, making it difficult to accur...

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Bibliographic Details
Main Authors: Kelley Paskov, Jae-Yoon Jung, Brianna Chrisman, Nate T. Stockham, Peter Washington, Maya Varma, Min Woo Sun, Dennis P. Wall
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BioData Mining
Subjects:
Sequencing error
Whole-genome sequencing
Whole-exome sequencing
Microarray
Families
Online Access:https://doi.org/10.1186/s13040-021-00259-6

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