Discovery and genotyping of structural variation from long-read haploid genome sequence data

نویسندگان

  • John Huddleston
  • Mark J.P. Chaisson
  • Karyn Meltz Steinberg
  • Wes Warren
  • Kendra Hoekzema
  • David Gordon
  • Tina A. Graves-Lindsay
  • Katherine M. Munson
  • Zev N. Kronenberg
  • Laura Vives
  • Paul Peluso
  • Matthew Boitano
  • Chen-Shin Chin
  • Jonas Korlach
  • Richard K. Wilson
  • Evan E. Eichler
چکیده

1. Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA 2. Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA 3. McDonnell Genome Institute, Department of Medicine, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA 4. Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15261, USA 5. Pacific Biosciences of California, Inc., Menlo Park, CA 94025, USA

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Corrigendum: Discovery and genotyping of structural variation from long-read haploid genome sequence data.

In an effort to more fully understand the full spectrum of human genetic variation, we generated deep single-molecule, real-time (SMRT) sequencing data from two haploid human genomes. By using an assembly-based approach (SMRT-SV), we systematically assessed each genome independently for structural variants (SVs) and indels resolving the sequence structure of 461,553 genetic variants from 2 bp t...

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Motivation Despite recent advances in algorithms design to characterize structural variation using high-throughput short read sequencing (HTS) data, characterization of novel sequence insertions longer than the average read length remains a challenging task. This is mainly due to both computational difficulties and the complexities imposed by genomic repeats in generating reliable assemblies to...

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تاریخ انتشار 2016