MIPgen: optimized modeling and design of molecular inversion probes for targeted resequencing
Author(s) -
Evan A. Boyle,
Brian J. O’Roak,
Beth Martin,
Akash Kumar,
Jay Shendure
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu353
Subject(s) - python (programming language) , computer science , r package , in silico , multiplex , source code , scripting language , computational biology , open source , data mining , software , bioinformatics , biology , computational science , programming language , gene , genetics
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.
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