checkAndInitPipe | R Documentation |
Make directory structure for orf finding, create database assign variables and validate input data.
checkAndInitPipe(
mainPath,
df.rfp,
df.rna,
df.cage,
organism,
biomart = "ensembl",
mode = "uORF",
startCodons.cds.allowed = c("ATG", "CTG", "TTG", "AAG", "AGG"),
stopCodons.cds.allowed = c("TAA", "TGA", "TAG"),
features = c("countRFP", "disengagementScores", "entropyRFP", "floss", "fpkmRFP",
"ioScore", "ORFScores", "RRS", "RSS", "startCodonCoverage", "startRegionCoverage",
"startRegionRelative")
)
mainPath |
folder for uORFome to put results |
df.rfp |
ORFik experiment of Ribo-seq |
df.rna |
ORFik experiment of RNA-seq, set to NULL if you don't have RNA-seq |
df.cage |
ORFik experiment of CAGE, set to NULL if you don't have CAGE. |
organism |
scientific name of organism, like Homo sapiens, Danio rerio, etc. |
biomart |
default "ensembl", get gene symbols and GO terms for uORF genes. Will be automaticly detected by organism name in ensembl database. Set to NULL if you don't want to check Gene symbols and GO terms. |
mode |
character, default: "uORF". alternative "aCDS". Do you want to predict on uORFs or artificial CDS. if "aCDS" will run twice once for whole length CDS and one for truncated CDS to validate model works for short ORFs. "CDS" is option to predict on whole CDS. |
startCodons.cds.allowed |
character, default same as startCodons argument. Which start codons can the CDS you train on have ? |
stopCodons.cds.allowed |
character, default same as stopCodons argument Which stop codons can the CDS you train on have ? |
features |
features to train model on, any of the features created
during ORFik::computeFeatures, default:
|
Debug possibility:
If you get this error:
Error in bmRequest(request = request, verbose = verbose) :
Internal Server Error (HTTP 500).
Rerun and it should work, this is a port issue.
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