Bioconductor version: Release (3.17)
cfDNA fragments carry important features for building cancer sample classification ML models, such as fragment size, and fragment end motif etc. Analyzing and visualizing fragment size metrics, as well as other biological features in a curated, standardized, scalable, well-documented, and reproducible way might be time intensive. This package intends to resolve these problems and simplify the process. It offers two sets of functions for cfDNA feature characterization and visualization.
Author: Haichao Wang [aut, cre], Hui Zhao [ctb], Elkie Chan [ctb], Christopher Smith [ctb], Tomer Kaplan [ctb], Florian Markowetz [ctb], Nitzan Rosenfeld [ctb]
Maintainer: Haichao Wang <hw538 at cam.ac.uk>
Citation (from within R,
enter citation("cfDNAPro")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("cfDNAPro")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cfDNAPro")
HTML | R Script | cfDNAPro Tutorial |
Reference Manual | ||
Text | NEWS |
biocViews | Sequencing, Software, Visualization, WholeGenome |
Version | 1.6.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (3 years) |
License | GPL-3 |
Depends | R (>= 4.1.0), magrittr (>= 1.5.0) |
Imports | tibble, GenomicAlignments, IRanges, plyranges, GenomeInfoDb, GenomicRanges, BiocGenerics, stats, utils, dplyr (>= 0.8.3), stringr (>= 1.4.0), quantmod (>= 0.4), ggplot2 (>= 3.2.1), Rsamtools(>= 2.4.0), rlang (>= 0.4.0), BSgenome.Hsapiens.UCSC.hg38, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.NCBI.GRCh38 |
LinkingTo | |
Suggests | scales, ggpubr, knitr (>= 1.23), rmarkdown (>= 1.14), devtools (>= 2.3.0), BiocStyle, testthat |
SystemRequirements | |
Enhances | |
URL | https://github.com/hw538/cfDNAPro |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | cfDNAPro_1.6.0.tar.gz |
Windows Binary | cfDNAPro_1.6.0.zip |
macOS Binary (x86_64) | cfDNAPro_1.6.0.tgz |
macOS Binary (arm64) | cfDNAPro_1.6.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/cfDNAPro |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/cfDNAPro |
Bioc Package Browser | https://code.bioconductor.org/browse/cfDNAPro/ |
Package Short Url | https://bioconductor.org/packages/cfDNAPro/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
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