This is the development version of cfDNAPro; for the stable release version, see cfDNAPro.
cfDNAPro extracts and Visualises biological features from whole genome sequencing data of cell-free DNABioconductor version: Development (3.22)
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, entercitation("cfDNAPro")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("cfDNAPro")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cfDNAPro")
Details biocViews Sequencing, Software, Visualization, WholeGenome Version 1.15.0 In Bioconductor since BioC 3.12 (R-4.0) (4.5 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 System Requirements URL https://github.com/hw538/cfDNAPro See More Package Archives
Follow Installation instructions to use this package in your R session.
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