star2steps | R Documentation |
This function executes the two steps STAR as sugested by best practice GATK for calling variants on RNAseq data only PE data are accepted
star2steps(
group = c("sudo", "docker"),
fastq.folder = getwd(),
scratch.folder = "/data/scratch",
genome.folder,
groupid,
threads = 1,
opossum.preprocessing = FALSE
)
group |
a character string. Two options: |
fastq.folder |
a character string indicating where gzip fastq files are located |
scratch.folder |
a character string indicating the scratch folder where docker container will be mounted |
genome.folder |
a character string indicating the folder where the indexed reference genome for STAR is located. |
groupid |
a character string to be inserted in the bam as identifier for the sample |
threads |
a number indicating the number of cores to be used from the application |
opossum.preprocessing |
a boolean TRUE or FALSE to use opossum for RNAseq data preprocessing https://wellcomeopenresearch.org/articles/2-6/v1 |
three files: dedup_reads.bam, which is sorted and duplicates marked bam file, dedup_reads.bai, which is the index of the dedup_reads.bam, and dedup_reads.stats, which provides mapping statistics
Raffaele Calogero, raffaele.calogero [at] unito [dot] it, Bioinformatics and Genomics unit, University of Torino Italy
## Not run:
#downloading fastq files
system("wget http://130.192.119.59/public/test_R1.fastq.gz")
system("wget http://130.192.119.59/public/test_R2.fastq.gz")
#running star2step nostrand pe
star2steps(group="docker",fastq.folder=getwd(), scratch.folder="/data/scratch",
genome.folder="/data/scratch/hg38star", groupid="test", threads=8, opossum.preprocessing=FALSE)
## End(Not run)
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