WGSmapp

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see WGSmapp.

Mappability tracks of Whole-genome Sequencing from the ENCODE Project

Bioconductor version: 3.17

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 (from within R, enter citation("WGSmapp")):

Installation

To install this package, start R (version "4.3") 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	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	DNASeqData, ENCODE, ExperimentData, Genome, Homo_sapiens_Data, SequencingData, SingleCellData
Version	1.12.0
License	GPL-2
Depends	R (>= 3.6.0), GenomicRanges
Imports
System Requirements
URL

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_1.12.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/WGSmapp
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/WGSmapp
Package Short Url	https://bioconductor.org/packages/WGSmapp/
Package Downloads Report	Download Stats