esATAC
An Easy-to-use Systematic pipeline for ATACseq data analysis
Bioconductor version: 3.24 · Package version: 1.35.0
This package provides a framework and complete preset pipeline for quantification and analysis of ATAC-seq Reads. It covers raw sequencing reads preprocessing (FASTQ files), reads alignment (Rbowtie2), aligned reads file operations (SAM, BAM, and BED files), peak calling (F-seq), genome annotations (Motif, GO, SNP analysis) and quality control report. The package is managed by dataflow graph. It is easy for user to pass variables seamlessly between processes and understand the workflow. Users can process FASTQ files through end-to-end preset pipeline which produces a pretty HTML report for quality control and preliminary statistical results, or customize workflow starting from any intermediate stages with esATAC functions easily and flexibly.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("esATAC") Details
| Maintainer | Zheng Wei <wzweizheng@qq.com> |
| Author | Zheng Wei, Wei Zhang |
| License | GPL-3 | file LICENSE |
| URL | https://github.com/wzthu/esATAC |
| Bug Reports | https://github.com/wzthu/esATAC/issues |
| System Requirements | C++11 |
| Downloads rank | 654 |
| Source branch | devel |
| biocViews | ATACSeq, Alignment, Coverage, DNASeq, DNaseSeq, ImmunoOncology, Preprocessing, QualityControl, Sequencing, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | esATAC_1.35.0.tar.gz |
| Windows binary (x86_64) | esATAC_1.35.0.zip |
| macOS binary (arm64) | esATAC_1.35.0.tgz |
| macOS binary (x86_64) | esATAC_1.35.0.tgz |
Dependencies
Depends: R (>= 4.0.0), Rsamtools, GenomicRanges, ShortRead, pipeFrame
Imports: Rcpp (>= 0.12.11), methods, knitr, Rbowtie2, rtracklayer, ggplot2, Biostrings, ChIPseeker, clusterProfiler, igraph, rJava, magrittr, digest, BSgenome, AnnotationDbi, GenomicAlignments, GenomicFeatures, R.utils, Seqinfo, BiocGenerics, S4Vectors, IRanges, rmarkdown, tools, VennDiagram, grid, JASPAR2018, TFBSTools, grDevices, graphics, stats, utils, parallel, corrplot, BiocManager, motifmatchr
LinkingTo: Rcpp
Suggests: BSgenome.Hsapiens.UCSC.hg19, TxDb.Hsapiens.UCSC.hg19.knownGene, org.Hs.eg.db, testthat, webshot, prettydoc