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.

Documentation