ctDNAtools
ctDNAtools provides analysis of circulating tumor DNA (ctDNA) and cell-free DNA (cfDNA) sequencing data to detect minimal residual disease and characterize cfDNA fragmentation for cancer research.
Key Features:
- Minimal Residual Disease (MRD) Detection: Implements Monte Carlo sampling to test for MRD by tracking pre-detected reporter mutations across follow-up samples.
- cfDNA Fragmentation Analysis: Computes fragment size histograms, fragment size profiles, and fragment end pattern analyses of cfDNA.
Scientific Applications:
- Oncology Monitoring: Enables non-invasive monitoring of cancer progression and treatment response using ctDNA from liquid biopsies.
- Relapse Detection and Disease Tracking: Supports early detection of relapse and longitudinal molecular tracking of tumor evolution via reporter mutation analysis.
- Biomarker Characterization: Facilitates investigation of cfDNA fragmentation patterns as biomarkers of tumor biology and patient prognosis.
Methodology:
Performs Monte Carlo sampling for MRD testing, tracks pre-detected reporter mutations across follow-up samples, and computes fragment size histograms, fragment size profiles, and fragment end pattern analyses for cfDNA fragmentation studies.
Topics
Details
- License:
- MIT
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/18/2021
Operations
Publications
Alkodsi A, Meriranta L, Pasanen A, Leppä S. ctDNAtools: An R package to work with sequencing data of circulating tumor DNA. Unknown Journal. 2020. doi:10.1101/2020.01.27.912790.