MIPgen: optimized modeling and design of molecular inversion probes for targeted resequencing

نویسندگان

  • Evan A. Boyle
  • Brian J. O'Roak
  • Beth K. Martin
  • Akash Kumar
  • Jay Shendure
چکیده

UNLABELLED Molecular inversion probes (MIPs) enable cost-effective multiplex targeted gene resequencing in large cohorts. However, the design of individual MIPs is a critical parameter governing the performance of this technology with respect to capture uniformity and specificity. MIPgen is a user-friendly package that simplifies the process of designing custom MIP assays to arbitrary targets. New logistic and SVM-derived models enable in silico predictions of assay success, and assay redesign exhibits improved coverage uniformity relative to previous methods, which in turn improves the utility of MIPs for cost-effective targeted sequencing for candidate gene validation and for diagnostic sequencing in a clinical setting. AVAILABILITY AND IMPLEMENTATION MIPgen is implemented in C++. Source code and accompanying Python scripts are available at http://shendurelab.github.io/MIPGEN/.

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عنوان ژورنال:
  • Bioinformatics

دوره 30 18  شماره 

صفحات  -

تاریخ انتشار 2014