MDTS
MDTS detects de novo copy number deletions from capture-based targeted sequencing of parent–offspring trios.
Key Features:
- High sensitivity and precision: Demonstrates sensitivity (recall) comparable to existing methods while substantially reducing false positive rates, yielding higher positive predictive value (precision).
- Scalability: Processes large capture-based targeted sequencing datasets for high-throughput studies without loss of performance.
- Minimum-distance calculation framework: Employs minimum distance calculations tailored for targeted sequencing to discriminate true de novo deletions from artifacts and non-specific CNV calls.
Scientific Applications:
- De novo deletion detection in trios: Identifies de novo copy number deletions in parent–offspring trios that are implicated in genetic diseases.
- Genetic research and precision medicine: Supports studies of hereditary conditions and contributes to analyses relevant to personalized medicine by accurately pinpointing de novo CN deletions.
Methodology:
MDTS applies minimum distance calculations tailored for capture-based targeted sequencing and prioritizes precision to minimize false positives while maintaining high sensitivity.
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 7/11/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Fu JM, Leslie EJ, Scott AF, Murray JC, Marazita ML, Beaty TH, Scharpf RB, Ruczinski I. Detection of de novo copy number deletions from targeted sequencing of trios. Unknown Journal. 2018. doi:10.1101/252833.
DOI: 10.1101/252833