SmMIP-tools
SmMIP-tools processes and analyzes single-molecule molecular inversion probe (smMIP) sequencing data to enable high-multiplex targeted next-generation sequencing (NGS) experiments and sensitive detection of genetic variants.
Key Features:
- Integrated analytic pipeline: Consolidates quality control, read–smMIP linkage generation, molecular tag retrieval, and variant calling into a single computational pipeline.
- Read processing tool: Performs quality control, establishes linkages between sequencing reads and smMIPs, and retrieves molecular tags.
- Error-aware variant caller: Detects single nucleotide variants (SNVs) and short insertions and deletions (indels) while accounting for sequencing errors to improve accuracy.
- Benchmarking and validation: Validated on a cell-line DNA dilution series and a cohort of blood cancer patients with results concordant with clinical sequencing reports.
Scientific Applications:
- High-multiplex targeted NGS studies: Enables smMIP-based high-multiplex targeted NGS experiments for genetic research.
- Personalized medicine: Supports sensitive detection of genetic variants in contexts relevant to personalized medicine.
- Clinical research in hematologic malignancies: Applied to analysis of blood cancer patient cohorts with demonstrated concordance to clinical sequencing reports.
- Assay development and validation: Used for analytical validation workflows such as cell-line DNA dilution series.
Methodology:
Performs quality control, generates read–smMIP linkages, retrieves molecular tags, and applies an error-aware variant caller to detect SNVs and short indels.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R, Shell
- Added:
- 10/15/2021
- Last Updated:
- 10/15/2021
Operations
Publications
Medeiros JJF, Capo-Chichi J, Shlush LI, Dick JE, Arruda A, Minden MD, Abelson S. SmMIP-tools: a computational toolset for processing and analysis of single-molecule molecular inversion probes derived data. Unknown Journal. 2021. doi:10.1101/2021.06.03.446993.