WGSmapp
Mappability tracks of Whole-genome Sequencing from the ENCODE Project
Bioconductor version: Release (3.19)
This package provides whole-genome mappability tracks on human hg19/hg38 assembly. We employed the 100-mers mappability track from the ENCODE Project and computed weighted average of the mappability scores if multiple ENCODE regions overlap with the same bin. “Blacklist” bins, including segmental duplication regions and gaps in reference assembly from telomere, centromere, and/or heterochromatin regions are included. The dataset consists of three assembled .bam files of single-cell whole genome sequencing from 10X for illustration purposes.
Author: Rujin Wang
Maintainer: Rujin Wang <rujin at email.unc.edu>
citation("WGSmapp")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("WGSmapp")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual | |
| NEWS | Text |
Details
| biocViews | DNASeqData, ENCODE, ExperimentData, Genome, Homo_sapiens_Data, SequencingData, SingleCellData |
| Version | 1.16.0 |
| License | GPL-2 |
| Depends | R (>= 3.6.0), GenomicRanges |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | SCOPE |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | WGSmapp_1.16.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/WGSmapp |
| Source Repository (Developer Access) | git clone [email protected]:packages/WGSmapp |
| Package Short Url | https://bioconductor.org/packages/WGSmapp/ |
| Package Downloads Report | Download Stats |