esATAC-package {esATAC} | R Documentation

## An Easy-to-use Systematic pipeline for ATACseq data analysis

### Description

This package provides a framework and complete preset pipeline for the quantification and analysis of ATAC-seq Reads. It covers raw sequencing reads preprocessing (FASTQ files), reads alignment (Rbowtie2), aligned reads file operation (SAM, BAM, and BED files), peak calling (fseq), 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.

Preset pipeline for single replicate case study is shown below.

For multi-replicates case study, see `atacRepsPipe`.

For single replicate case-control study, see `atacPipe2`.

For multi-replicates case-control study, see `atacRepsPipe2`.

NOTE: Build bowtie index in the function may take some time. If you already have bowtie2 index files or you want to download(ftp://ftp.ccb.jhu.edu/pub/data/bowtie2_indexes) instead of building, you can let esATAC skip the steps by renaming them following the format (genome+suffix) and put them in reference installation path (refdir). Example: hg19 bowtie2 index files

- hg19.1.bt2

- hg19.2.bt2

- hg19.3.bt2

- hg19.4.bt2

- hg19.rev.1.bt2

- hg19.rev.2.bt2

For single end reads FASTQ files, The required parameters are fastqInput1 and adapter1. For paired end reads non-interleaved FASTQ files (interleave=FALSE,defualt), The required parameters are fastqInput1 and fastqInput2. Otherwise, parameter fastqInput2 is not required (interleave=TRUE)

The paths of sequencing data replicates can be a `Character` vector. For example:

fastqInput1=c("file_1.rep1.fastq","file_1.rep2.fastq")

fastqInput2=c("file_2.rep1.fastq","file_2.rep2.fastq")

The result will be return by the function. An HTML report file will be created for paired end reads. Intermediate files will be save at tmpdir path (default is ./)

### Usage

    atacPipe(genome, fastqInput1, fastqInput2 = NULL, refdir = NULL,
      tmpdir = NULL, threads = 2, adapter1 = NULL, adapter2 = NULL,
      interleave = FALSE, basicAnalysis = FALSE, createReport = TRUE,
      motifPWM = NULL, prefix = NULL, chr = c(1:22, "X", "Y"),
      min.score = "90%", use.SavedPWM = NULL, ...)

### Arguments

`genome` | `Character` scalar. The genome(like hg19, mm10, etc.) reference data in "refdir" to be used in the pipeline.
`fastqInput1` | `Character` vector. For single-end sequencing, it contains sequence file paths. For paired-end sequencing, it can be file paths with #1 mates paired with file paths in fastqInput2 And it can also be interleaved file paths when argument interleaved=`TRUE`
`fastqInput2` | `Character` vector. It contains file paths with #2 mates paired with file paths in fastqInput1. For single-end sequencing files and interleaved paired-end sequencing files(argument interleaved=`TRUE`), it must be `NULL`.
`refdir` | `Character` scalar. The path for reference data being installed to and storage.
`tmpdir` | `Character` scalar. The temporary file storage path.
`threads` | `Integer` scalar. The max threads allowed to be created.
`adapter1` | `Character` scalar. It is an adapter sequence for file1. For single end data, it is requied.
`adapter2` | `Character` scalar. It is an adapter sequence for file2.
`interleave` | `Logical` scalar. Set `TRUE` when files are interleaved paired-end sequencing data.
`basicAnalysis` | `Logical` scalar. If it is TRUE, the pipeline will skip the time consuming steps like GO annoation and motif analysis
`createReport` | `Logical` scalar. If the HTML report file will be created.
`motifPWM` | `List` scalar. Motif PWM, a list, default:vertebrates(JASPAR).
`prefix` | `Character` scalar. Temporary file prefix for identifying files when multiple pipeline generating file in the same tempdir.
`chr` | Which chromatin the program will processing. It must be identical with the filename of cut site information files or subset of . Default:c(1:22, "X", "Y").
`min.score` | The minimum score for counting a match. Can be given as a character string containing a percentage (default: "90 possible score or as a single number.
`use.SavedPWM` | use local motif position information. This data is download or generate by users. it must be a rds file and the information saved as GRanges. Once this parameter is used, parameters "motifPWM" will be set to NULL.
`...` | Additional arguments, currently unused.

### Details

See packageDescription('esATAC') for package details.

### Value

`List` scalar. It is a list that save the result of the pipeline. Slot "filelist": the input file paths. Slot "wholesummary": a dataframe that for quality control summary Slot "atacProcs": `ATACProc-class` objects generated by each process in the pipeline. Slot "filtstat": a dataframe that summary the reads filted in each process.

### Author(s)

Zheng Wei and Wei Zhang

### See Also

`printMap`, `atacPipe2`, `atacRenamer`, `atacRemoveAdapter`, `atacBowtie2Mapping`, `atacPeakCalling`, `atacMotifScan`, `atacRepsPipe`, `atacRepsPipe2`

### Examples

    ## Not run:
    ## These codes are time consuming so they will not be run and
    ## checked by bioconductor checker.

    # call pipeline
    # for a quick example(only CTCF will be processing)
    conclusion <-
      atacPipe(
           # MODIFY: Change these paths to your own case files!
           # e.g. fastqInput1 = "your/own/data/path.fastq"
           fastqInput1 = system.file(package="esATAC", "extdata", "chr20_1.1.fq.gz"),
           fastqInput2 = system.file(package="esATAC", "extdata", "chr20_2.1.fq.gz"),
           # MODIFY: Set the genome for your data
           genome = "hg19",
           motifPWM = getMotifPWM(motif.file = system.file("extdata", "CTCF.txt", package="esATAC"), is.PWM = FALSE))

    # call pipeline
    # for overall example(all human motif in JASPAR will be processed)
    conclusion <-
      atacPipe(
           # MODIFY: Change these paths to your own case files!
           # e.g. fastqInput1 = "your/own/data/path.fastq"
           fastqInput1 = system.file(package="esATAC", "extdata", "chr20_1.1.fq.gz"),
           fastqInput2 = system.file(package="esATAC", "extdata", "chr20_2.1.fq.gz"),
           # MODIFY: Set the genome for your data
           genome = "hg19")

    ## End(Not run)

[Package esATAC version 1.0.23 Index]