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Whole exome capture in solution with 3 Gbp of data |
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| Authors: | Matthew N Bainbridge Min Wang Daniel L Burgess Christie Kovar Matthew J Rodesch Mark D'Ascenzo Jacob Kitzman Yuan-Qing Wu Irene Newsham Todd A Richmond Jeffrey A Jeddeloh Donna Muzny Thomas J Albert Richard A Gibbs |
| Institution: | 1. Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas, 77030, USA 2. Department of Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, One Baylor Plaza, Houston, Texas, 77030, USA 3. Roche NimbleGen, Inc, 504 S. Rosa Road, Madison, WI, 53719, USA |
| Abstract: | We have developed a solution-based method for targeted DNA capture-sequencing that is directed to the complete human exome. Using this approach allows the discovery of greater than 95% of all expected heterozygous singe base variants, requires as little as 3 Gbp of raw sequence data and constitutes an effective tool for identifying rare coding alleles in large scale genomic studies. |
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