samp.names <- c("ZsG_1stRun1", "ZsG_1stRun2", "ZsG_2ndRun1", "ZsG_2ndRun2", "ZsG_3rdRun1", "ZsG_3rdRun2")
info <- data.frame(
Title = sprintf("Droplet %s",
c(sprintf("processed counts (sample %s)", samp.names),
"rowData",
sprintf("colData (sample %s)", samp.names),
sprintf("size factors (sample %s)", samp.names),
sprintf("reduced dimensions (sample %s)", samp.names))
),
Description = sprintf("%s for the mouse ageing thymus ZsGreen droplet single-cell RNA-seq dataset",
c(sprintf("Processed counts for sample %s", samp.names),
"Per-gene metadata for all samples",
sprintf("Per-cell metadata for sample %s", samp.names),
sprintf("Size factors for sample %s", samp.names),
sprintf("Reduced dimensions for sample %s", samp.names))
),
RDataPath = c(
file.path("MouseThymusAgeing", "Droplet", "1.0.0",
c(sprintf("counts-processed-%s.rds", samp.names),
"rowdata.rds",
sprintf("coldata-%s.rds", samp.names),
sprintf("sizefac-%s.rds", samp.names),
sprintf("reduced-dims-%s.rds", samp.names))
)),
BiocVersion="3.13",
Genome="mm10",
SourceType="TXT",
SourceUrl=c(
rep(
c("https://content.cruk.cam.ac.uk/jmlab/thymus_data"),
c(6 * 4 + 1))
),
SourceVersion=paste(
c(paste(samp.names, "raw_counts.mtx.gz", sep="_"),
"genes.tsv.gz",
rep("ZsG_meta_data.tsv.gz", 6),
rep("sizefactors.tsv.gz", 6),
rep("ZsG_PCs.tsv.gz", 6)
),
sep=";"
),
Species="Mus musculus",
TaxonomyId="10090",
Coordinate_1_based=TRUE,
DataProvider="Mike Morgan",
Maintainer="Mike Morgan <michael.morgan@cruk.cam.ac.uk>",
RDataClass="character",
DispatchClass="Rds",
stringsAsFactors = FALSE
)
write.csv(file="../../extdata/metadata-Droplet.csv", info, row.names=FALSE)
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