# A script to make the metadata.csv file located in inst/extdata of the package.
# See ?AnnotationHubData::makeAnnotationHubMetadata for a description of the
# metadata.csv file, expected fields and data types. This
# AnnotationHubData::makeAnnotationHubMetadata() function can be used to
# validate the metadata.csv file before submitting the package.
main.data <- data.frame(
DataType="Allen_Mouse_2020",
Title = c("Brain Mouse 2020 assay",
"Brain Mouse 2020 annotation"),
Description = c(
"Single-cell RNA-seq data for mouse brain annotation 2020",
"Single-cell RNA-seq data for mouse brain annotation 2020"
),
Location_Prefix= "http://data.nemoarchive.org/" ,
RDataPath = c("biccn/grant/u19_zeng/zeng/transcriptome/scell/10x_v2/mouse/processed/YaoHippo2020/CTX_Hip_counts_10x.h5",
"biccn/grant/u19_zeng/zeng/transcriptome/scell/10x_v2/mouse/processed/YaoHippo2020/CTX_Hip_anno_10x.csv.tar"),
BiocVersion="3.13",
Genome="mm10",
SourceType=c("HDF5", "tar.gz"),
SourceUrl="http://data.nemoarchive.org/",
SourceVersion="1.0.0",
Species="Mus musculus",
TaxonomyId="10090",
Coordinate_1_based=TRUE,
DataProvider="Allen Institue for Brain Science",
Maintainer="Dario Righelli <dario.righelli@gmail.com>",
RDataClass=c("HDF5Array", "SummarizedExperiment"),
DispatchClass=c("H5File", "Rds")
)
main.data21 <- data.frame(
DataType="Allen_Mouse_2021",
Title = c("Brain Mouse 2021 assay",
"Brain Mouse 2021 annotation"),
Description = c(
"Single-cell RNA-seq data for mouse brain annotation 2021",
"Single-cell RNA-seq data for mouse brain annotation 2021"
),
Location_Prefix= "https://idk-etl-prod-download-bucket.s3.amazonaws.com/" ,
RDataPath = c("aibs_mouse_ctx-hpf_10x/expression_matrix.hdf5",
"aibs_mouse_ctx-hpf_10x/metadata.csv"),
BiocVersion="3.13",
Genome="mm10",
SourceType=c("HDF5", "tar.gz"),
SourceUrl="http://portal.brain-map.org/",
SourceVersion="1.0.0",
Species="Mus musculus",
TaxonomyId="10090",
Coordinate_1_based=TRUE,
DataProvider="Allen Institue for Brain Science",
Maintainer="Dario Righelli <dario.righelli@gmail.com>",
RDataClass=c("HDF5Array", "SummarizedExperiment"),
DispatchClass=c("H5File", "Rds")
)
write.csv(file="inst/extdata/metadata.csv", rbind(main.data,main.data21), row.names=FALSE)
al <- read.csv("/Users/inzirio/Downloads/CTX_Hip_anno_SSv4/CTX_Hip_anno_SSv4.csv")
library(HDF5Array)
h5smrt <- HDF5Array::
table(al$subclass_label)
mtd <- read.csv("")
load("~/Downloads/dend.RData")
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