MIPgen: optimized modeling and design of molecular inversion probes for targeted resequencing.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 24867941.
- Also identified by DOI 10.1093/bioinformatics/btu353 and PMC identifier 4155255.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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. MIPgen is implemented in C++. Source code and accompanying Python scripts are available at http://shendurelab.github.io/MIPGEN/.
Medical subject headings
- Algorithms
- Computational Biology
- DNA Probes
- Models, Statistical
- Sequence Analysis