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Author(s): Ranade, S. and Aro, L. and Harting, J. and Rowell, W. and McLaughlin, I. and Heiner, C. and Baybayan, P. and Toepfer, A. and Bowman, B. and Ziegle, J. and Seetin, M. and Weiand, M. and Tai, P.W.L. and Gao, G. and Hall, R.

Targeted sequencing with Sanger as well as short read based high throughput sequencing methods is standard practice in clinical genetic testing. However, many applications beyond SNP detection have remained somewhat obstructed due to technological challenges. With the advent of long reads and high consensus accuracy, SMRT Sequencing overcomes many of the technical hurdles faced by Sanger and NGS approaches, opening a broad range of untapped clinical sequencing opportunities. Flexible multiplexing options, highly adaptable sample preparation method and newly improved two well-developed analysis methods that generate highly-accurate sequencing results, make SMRT Sequencing an adept method for clinical grade targeted sequencing. The Circular Consensus Sequencing (CCS) analysis pipeline produces QV 30 data from each single intra-molecular multi-pass polymerase read, making it a reliable solution for detecting minor variant alleles with frequencies as low as 1 %. Long Amplicon Analysis (LAA) makes use of insert spanning full-length subreads originating from multiple individual copies of the target to generate highly accurate and phased consensus sequences (>QV50), offering a unique advantage for imputation free allele segregation and haplotype phasing. Here we present workflows and results for a range of SMRT Sequencing clinical applications. Specifically, we illustrate how the flexible multiplexing options, simple sample preparation methods and new developments in data analysis tools offered by PacBio in support of Sequel System 5.1 can come together in a variety of experimental designs to enable applications as diverse as high throughput HLA typing, mitochondrial DNA sequencing and viral vector integrity profiling of recombinant adeno-associated viral genomes (rAAV).

Organization: PacBio
Year: 2018

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