MDTS
Detection of de novo deletion in targeted sequencing trios
Bioconductor version: Release (3.20)
A package for the detection of de novo copy number deletions in targeted sequencing of trios with high sensitivity and positive predictive value.
Author: Jack M.. Fu [aut, cre]
Maintainer: Jack M.. Fu <jmfu at jhsph.edu>
Citation (from within R, enter
citation("MDTS")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MDTS")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MDTS")| Title of your vignette | HTML | R Script |
| Reference Manual |
Details
| biocViews | Coverage, DataImport, Sequencing, Software, StatisticalMethod, TargetedResequencing, Technology |
| Version | 1.26.0 |
| In Bioconductor since | BioC 3.7 (R-3.5) (6.5 years) |
| License | Artistic-2.0 |
| Depends | R (>= 3.5.0) |
| Imports | GenomicAlignments, GenomicRanges, IRanges, Biostrings, DNAcopy, Rsamtools, parallel, stringr |
| System Requirements | |
| URL |
See More
| Suggests | testthat, knitr |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | MDTS_1.26.0.tar.gz |
| Windows Binary (x86_64) | MDTS_1.26.0.zip |
| macOS Binary (x86_64) | MDTS_1.26.0.tgz |
| macOS Binary (arm64) | MDTS_1.25.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/MDTS |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MDTS |
| Bioc Package Browser | https://code.bioconductor.org/browse/MDTS/ |
| Package Short Url | https://bioconductor.org/packages/MDTS/ |
| Package Downloads Report | Download Stats |