processSRA | R Documentation |
This function is a wrapper to qcAndSalmon. It also summarizes transcript into gene expression estimates
processSRA(sampTab, inc = 5, studyID = NA, bucket = "cellnet-rnaseq",
startDir = "singlecell", finalLength = 40, subProp = 0.001,
target = "mouse",
gtfFile = "/media/ephemeral1/dat/ref/Mus_musculus.GRCm38.83.gtf",
geneTabfname = "/media/ephemeral1/dat/ref/geneToTrans_Mus_musculus.GRCm38.80.exo_Jun_02_2015.R",
salmonIndex = "/media/ephemeral1/dat/ref/MM_GRCh38.SalmonIndex.030816")
sampTab |
sample table |
inc |
increment size |
studyID |
study id |
bucket |
S3 bucket where to put the results |
startDir |
S3 bucket path to store results |
finalLength |
final length of reads |
subProp |
proportion of reads to sample from for QC |
target |
species/genome for expression estimates |
gtfFile |
genomic feature of target genome for QC |
geneTabfname |
transcript <-> gene data frame |
salmonIndex |
path to salmon index for expression estimation |
sample table with QC measures appened. side effect is storage of expression estimates + sample table to S3
processSRA(stX, inc=5)
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