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Massively parallel exon capture and library-free resequencing across 16 genomes

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Figure 1: Optimization yields reduced representational and allelic bias.
Figure 2: Schematic of MIP-based exon capture and direct resequencing.

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Acknowledgements

This work was supported in part by grants from the US National Institutes of Health (NIH) National Heart Lung and Blood Institute (R01 HL094976 to D.A.N. and J.S.) and the NIH National Human Genome Research Institute (R21 HG004749 to J.S.). E.H.T. is supported by a training fellowship from the NIH National Human Genome Research Institute (T32 HG00035). S.B.N. is supported by the Agency for Science, Technology and Research, Singapore. We thank K. Bertucci and S. da Ponte for technical assistance with sequencing; J. Smith, G. Cooper and I. Stanway for assistance with genotyping data; H. Ji, J. Li, K. Zhang, G. Church, J. Teer, J. Egertson, R. Lifton and G. Porreca for helpful discussions; and E. Leproust and W. Woo for supplying oligo libraries.

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Authors and Affiliations

  1. Department of Genome Sciences, University of Washington, Seattle, Washington, USA

    Emily H Turner, Choli Lee, Sarah B Ng, Deborah A Nickerson & Jay Shendure

Authors
  1. Emily H Turner
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  2. Choli Lee
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  3. Sarah B Ng
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  4. Deborah A Nickerson
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  5. Jay Shendure
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Correspondence to Jay Shendure.

Supplementary information

Supplementary Text and Figures

Supplementary Figures 1–3, Supplementary Tables 1–2, Supplementary Note 1, Supplementary Methods (PDF 123 kb)

Supplementary Data 1

Design and targets for 13,000 MIP precursor oligos (TXT 1641 kb)

Supplementary Data 2

Variants called for 16 HapMap individuals targeted with 13,000-plex MIP capture (TXT 512 kb)

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Turner, E., Lee, C., Ng, S. et al. Massively parallel exon capture and library-free resequencing across 16 genomes. Nat Methods 6, 315–316 (2009). https://doi.org/10.1038/nmeth.f.248

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