View source: R/wrapperSTARChip.R
wrapperSTARChip | R Documentation |
This function calls sequentially the docker containers for FASTQC, STAR, and STARChip to predict the list of circRNAs starting from the raw RNA-Seq reads
wrapperSTARChip(
group = c("sudo", "docker"),
scratch.folder,
genome.folder,
samples.folder,
threads,
chimSegmentMin,
chimJunctionOverhangMin,
reads.cutoff,
min.subject.limit,
do.splice,
cpm.cutoff,
subjectCPM.cutoff,
annotation
)
group |
a character string. Two options: sudo or docker, depending to which group the user belongs |
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. |
samples.folder |
the folder where are located all the subfolders of the samples processed with starChimeric |
threads |
a number indicating the number of cores to be used from the application |
chimSegmentMin |
is a positive integer indicating the minimal length of the overlap of a read to the chimeric element |
chimJunctionOverhangMin |
is a positive integer indicating the minimum overhang for a chimeric junction |
reads.cutoff |
Integer. Minimum number of reads crossing the circRNA backsplice required. |
min.subject.limit |
Integer. Minimum number of individuals with readsCutoff reads required to carry forward a circRNA for analysis |
do.splice |
true false. The splices within the circRNA be detected and reported. Linear splices are searched within each circRNA in each individual. Any linear splice with >= 60% of the read count of the cRNA is considered a splice within the circRNA. Two files are then created, .consensus with most common splice pattern, and .allvariants with all reported splice patterns. |
cpm.cutoff |
Float. Reads counts are loaded into R and log2(CountsPerMillion) is calculated using the limma package. With cpmCutoff > 0, circRNAs with log2(CPM) below this value will be filtered from this analysis |
subjectCPM.cutoff |
Integer. See above. This value is the lower limit for number of individuals required to have the circRNAs expressed at a value higher than cpmCutoff. |
annotation |
true/false. circRNAs are provided with gene annotations |
1. Count matrices : raw cRNA backsplice counts: circRNA.cutoff[readthreshold]reads.[subjectthreshold]ind.countmatrix log2CPM of above: norm_log2_counts_circRNA.[readthreshold]reads.[subjectthreshold]ind.0cpm_0samples.txt Maximum Linear Splices at Circular Loci: rawdata/linear.[readthreshold]reads.[subjectthreshold]ind.sjmax 2. Info about each circRNA: Consensus Information about Internal Splicing: Circs[reads].[subjects].spliced.consensus Complete Gene Annotation: circRNA.[readthreshold]reads.[subjectthreshold]ind.annotated Consise Gene Annotation + Splice Type: circRNA.[readthreshold]reads.[subjectthreshold]ind.genes 3. Images: PCA plots: circRNA.[readthreshold]reads.[subjectthreshold]ind.0cpm_0samples_variance_PCA.pdf Heatmap: circRNA.[readthreshold]reads.[subjectthreshold]ind.heatmap.pdf
Nicola Licheri, nicola [dot] licheri [at] unito [dot] it, University of Turin, Italy
## Not run:
#retrieve the example data
system("wget https://github.com/carlo-deintinis/circhunter/archive/master.zip") #retrieve the data of the indexed genome (chromosome 21 of hg38 human genome assembly)
system("unzip master.zip")
system("unzip ./circhunter-master/CircHunter/data/hg38.chr21.fa.zip")
system("wget ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR582/001/SRR5824251/SRR5824251_1.fastq.gz") #retrieve the RNA-Seq data
system("wget ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR582/001/SRR5824251/SRR5824251_2.fastq.gz") #retrieve the RNA-Seq data
#running the wrapperSTARChip function
wrapperSTARChip(group = "docker", scratch.folder="/data/scratch", genome.folder="./circhunter-master/CircHunter/data/", samples.folder=getwd(), threads = 8, chimSegmentMin = 20, chimJunctionOverhangMin = 15, reads.cutoff = 5, min.subject.limit = 1, do.splice = FALSE, cpm.cutoff = 0, subjectCPM.cutoff = 0, annotation = FALSE)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.