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cfTools

Informatics Tools for Cell-Free DNA Study

Bioconductor version: 3.23 · Package version: 1.12.0

The cfTools R package provides methods for cell-free DNA (cfDNA) methylation data analysis to facilitate cfDNA-based studies. Given the methylation sequencing data of a cfDNA sample, for each cancer marker or tissue marker, we deconvolve the tumor-derived or tissue-specific reads from all reads falling in the marker region. Our read-based deconvolution algorithm exploits the pervasiveness of DNA methylation for signal enhancement, therefore can sensitively identify a trace amount of tumor-specific or tissue-specific cfDNA in plasma. cfTools provides functions for (1) cancer detection: sensitively detect tumor-derived cfDNA and estimate the tumor-derived cfDNA fraction (tumor burden); (2) tissue deconvolution: infer the tissue type composition and the cfDNA fraction of multiple tissue types for a plasma cfDNA sample. These functions can serve as foundations for more advanced cfDNA-based studies, including cancer diagnosis and disease monitoring.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cfTools")

Details

MaintainerRan Hu <huran@ucla.edu>
AuthorRan Hu [aut, cre] (ORCID: <https://orcid.org/0000-0002-0563-8957>), Mary Louisa Stackpole [aut] (ORCID: <https://orcid.org/0000-0003-4432-6718>), Shuo Li [aut] (ORCID: <https://orcid.org/0000-0002-1960-6016>), Xianghong Jasmine Zhou [aut] (ORCID: <https://orcid.org/0000-0002-4522-7490>), Wenyuan Li [aut] (ORCID: <https://orcid.org/0000-0002-5029-8525>)
Licensefile LICENSE
URLhttps://github.com/jasminezhoulab/cfTools
Bug Reportshttps://github.com/jasminezhoulab/cfTools/issues
Downloads rank159
Source branchRELEASE_3_23
biocViewsBiomedicalInformatics, DNAMethylation, DifferentialMethylation, Epigenetics, MethylSeq, Sequencing, Software

Documentation

Download

Dependencies

Imports: Rcpp, utils, GenomicRanges, basilisk, R.utils, stats, cfToolsData, grDevices, graphics

LinkingTo: Rcpp, BH

Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)