info <- data.frame(
Title = sprintf("T chimera %s",
c(sprintf("processed counts (sample %i)", seq_len(16)),
"rowData",
sprintf("colData (sample %i)", seq_len(16)),
sprintf("size factors (sample %i)", seq_len(16)),
sprintf("reduced dimensions (sample %i)", seq_len(16)),
sprintf("raw counts (sample %i)", seq_len(16)))
),
Description = sprintf("%s for the T chimeric mouse embryo single-cell RNA-seq dataset",
c(sprintf("Processed counts for sample %i", seq_len(16)),
"Per-gene metadata for all samples",
sprintf("Per-cell metadata for sample %i", seq_len(16)),
sprintf("Size factors for sample %i", seq_len(16)),
sprintf("Reduced dimensions for sample %i", seq_len(16)),
sprintf("Raw counts for sample %i", seq_len(16)))
),
RDataPath = file.path("MouseGastrulationData", "t-chimera", "1.4.0",
c(sprintf("counts-processed-sample%i.rds", seq_len(16)),
"rowdata.rds",
sprintf("coldata-sample%i.rds", seq_len(16)),
sprintf("sizefac-sample%i.rds", seq_len(16)),
sprintf("reduced-dims-sample%i.rds", seq_len(16)),
sprintf("counts-raw-sample%i.rds", seq_len(16)))
),
BiocVersion="3.11",
Genome="mm10",
SourceType="TXT",
SourceUrl=rep(
c("https://content.cruk.cam.ac.uk/jmlab/chimera_t_data"),
16 * 5 + 1
),
SourceVersion=paste(
c(rep("raw_counts.mtx.gz", 16),
"genes.tsv.gz",
rep("meta.tab.gz", 16),
rep("sizefactors.tab.gz", 16),
rep("corrected_pcas.rds", 16),
sprintf("sample_%i_unswapped.mtx.gz", seq_len(16))),
sep=";"
),
Species="Mus musculus",
TaxonomyId="10090",
Coordinate_1_based=TRUE,
DataProvider="Jonathan Griffiths",
Maintainer="Jonathan Griffiths <jonathan.griffiths.94@gmail.com>",
RDataClass="character",
DispatchClass="Rds",
stringsAsFactors = FALSE
)
write.csv(file="../../extdata/metadata-t-chimera.csv", info, row.names=FALSE)
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