From 61ec3c7b6f2fa781180bc663c4fb0eb11b2402bd Mon Sep 17 00:00:00 2001 From: Artur-man Date: Thu, 25 Jul 2024 15:57:49 +0200 Subject: [PATCH 1/5] implement importing OpenST data --- R/import.R | 66 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 66 insertions(+) diff --git a/R/import.R b/R/import.R index 8ece3348..ba6ad563 100644 --- a/R/import.R +++ b/R/import.R @@ -1358,6 +1358,72 @@ importSTOmics <- function(h5ad.path, assay_name = "STOmics", sample_name = NULL, formVoltRon(rawdata, metadata = metadata, coords = coords, main.assay = assay_name, params = params, assay.type = "spot", image_name = image_name, main_channel = channel_name, sample_name = sample_name, ...) } +#### +# OpenST #### +#### + +#' importOpenST +#' +#' Importing OpenST data +#' +#' @param h5ad.path path to h5ad file of STOmics output +#' @param assay_name the assay name +#' @param sample_name the name of the sample +#' @param image_name the image name of the Visium assay, Default: main +#' @param channel_name the channel name of the image of the Visium assay, Default: H&E +#' @param ... additional parameters passed to \link{formVoltRon} +#' +#' @importFrom methods as +#' @export +#' +importOpenST <- function(h5ad.path, assay_name = "OpenST", sample_name = NULL, image_name = "main", channel_name = "H&E", ...) +{ + # check Seurat package + if(!requireNamespace('anndataR')) + stop("Please install anndataR package") + + # get h5ad data + stdata <- anndataR::read_h5ad(h5ad.path) + + # observation and feature names + obs_names <- stdata$obs_names + var_names <- stdata$var_names + + # raw counts + rawdata <- Matrix::t(stdata$X) + rownames(rawdata) <- var_names + colnames(rawdata) <- obs_names + rawdata <- methods::as(rawdata, 'CsparseMatrix') + + # metadata + metadata <- stdata$obs + rownames(metadata) <- obs_names + + # coordinates + coords <- stdata$obsm$spatial_3d_aligned + rownames(coords) <- obs_names + + # get individual sections as voltron data + sections <- unique(metadata$n_section) + sections <- sections[order(sections)] + vr_data_list <- list() + for(i in 1:length(sections)){ + print(sections[i]) + ind <- metadata$n_section == sections[i] + spatialpoints <- rownames(metadata[metadata$n_section == sections[i],]) + cur_data <- Matrix::t(datax[spatialpoints,]) + cur_metadata <- metadata[spatialpoints,] + cur_coords <- coords[ind,c(1,2)] + rownames(cur_coords) <- spatialpoints + vr_data_list[[i]] <- formVoltRon(data = cur_data, metadata = cur_metadata, coords = cur_coords, + main.assay = assay_name, sample_name = paste0("Section", sections[i]), + image_name = image_name, main_channel = channel_name) + } + + # create VoltRon + merge(vr_data_list[[1]], vr_data_list[-1], samples = ifelse(is.null(sample_name), "Sample", sample_name)) +} + #### # Akoya #### #### From bbbcd4e7bb38869d130525860d24850c76080e2f Mon Sep 17 00:00:00 2001 From: Artur-man Date: Thu, 25 Jul 2024 15:58:53 +0200 Subject: [PATCH 2/5] delete row --- R/import.R | 1 - 1 file changed, 1 deletion(-) diff --git a/R/import.R b/R/import.R index ba6ad563..e0becc61 100644 --- a/R/import.R +++ b/R/import.R @@ -1375,7 +1375,6 @@ importSTOmics <- function(h5ad.path, assay_name = "STOmics", sample_name = NULL, #' #' @importFrom methods as #' @export -#' importOpenST <- function(h5ad.path, assay_name = "OpenST", sample_name = NULL, image_name = "main", channel_name = "H&E", ...) { # check Seurat package From 9044abaff61e20220e08cb8166e7424c0146241d Mon Sep 17 00:00:00 2001 From: Artur-man Date: Thu, 25 Jul 2024 23:46:22 +0200 Subject: [PATCH 3/5] update import data tutorial, compress example datasets --- DESCRIPTION | 3 +- NAMESPACE | 1 + R/import.R | 18 +++++---- cleanup | 1 + data/melc_data.rda | Bin 1112286 -> 1112242 bytes data/visium_data.rda | Bin 1935706 -> 1935730 bytes data/xenium_data.rda | Bin 818002 -> 552192 bytes docs/importingdata.Rmd | 58 ++++++++++++++++++++++++--- docs/importingdata.html | 84 +++++++++++++++++++++++++++++++++------ man/importOpenST.Rd | 31 +++++++++++++++ man/importPhenoCycler.Rd | 2 - 11 files changed, 170 insertions(+), 28 deletions(-) create mode 100644 man/importOpenST.Rd diff --git a/DESCRIPTION b/DESCRIPTION index c9531eaf..1e3a65a1 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -9,7 +9,7 @@ Description: VoltRon is a novel spatial omic analysis toolbox for multi-omics in License: MIT + file LICENSE SystemRequirements: OpenCV 4.7 (or higher): libopencv-dev (Debian, Ubuntu) or opencv-devel (Fedora) Encoding: UTF-8 -RoxygenNote: 7.3.1 +RoxygenNote: 7.3.2 biocViews: Imports: methods, S4Vectors, EBImage, FNN, Matrix, dplyr, ggforce, ggplot2, ggpubr, ggrepel, hdf5r, igraph, irlba, rjson, magick, @@ -62,3 +62,4 @@ Suggests: anndata Config/testthat/edition: 3 LazyData: true +LazyDataCompression: gzip diff --git a/NAMESPACE b/NAMESPACE index ad4a13cb..85f58f82 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -160,6 +160,7 @@ export(importCosMx) export(importGenePS) export(importGeoMx) export(importImageData) +export(importOpenST) export(importPhenoCycler) export(importSTOmics) export(importVisium) diff --git a/R/import.R b/R/import.R index e0becc61..e9ce49c0 100644 --- a/R/import.R +++ b/R/import.R @@ -1406,11 +1406,11 @@ importOpenST <- function(h5ad.path, assay_name = "OpenST", sample_name = NULL, i sections <- unique(metadata$n_section) sections <- sections[order(sections)] vr_data_list <- list() + message("Creating Layers ...") for(i in 1:length(sections)){ - print(sections[i]) ind <- metadata$n_section == sections[i] spatialpoints <- rownames(metadata[metadata$n_section == sections[i],]) - cur_data <- Matrix::t(datax[spatialpoints,]) + cur_data <- Matrix::t(rawdata[spatialpoints,]) cur_metadata <- metadata[spatialpoints,] cur_coords <- coords[ind,c(1,2)] rownames(cur_coords) <- spatialpoints @@ -1433,7 +1433,7 @@ importOpenST <- function(h5ad.path, assay_name = "OpenST", sample_name = NULL, i #' readPhenoCyclerMat #' -#' Read and Load Akoya CODEX data, adapted from \code{ReadAkoya} function \code{Seurat} package +#' Read and Load Akoya CODEX data, adapted from the \code{ReadAkoya} function \code{Seurat} package #' #' @param filename Path to matrix generated by upstream processing. #' @param type Specify which type matrix is being provided. @@ -1445,6 +1445,8 @@ importOpenST <- function(h5ad.path, assay_name = "OpenST", sample_name = NULL, i #' @param filter A pattern to filter features by; pass \code{NA} to skip feature filtering #' @param inform.quant When \code{type} is \dQuote{\code{inform}}, the quantification level to read in #' +#' @importFrom methods as +#' #' @noRd readPhenoCyclerMat <- function( filename, @@ -1503,7 +1505,8 @@ readPhenoCyclerMat <- function( } mtx <- t(x = mtx) if ((sum(mtx == 0) / length(x = mtx)) > ratio) { - mtx <- as.sparse(x = mtx) + # mtx <- as.sparse(x = mtx) + mtx <- methods::as(mtx, 'CsparseMatrix') } list(matrix = mtx, centroids = centroids, metadata = md) }, @@ -1588,7 +1591,8 @@ readPhenoCyclerMat <- function( } expr <- t(x = expr) if ((sum(expr == 0, na.rm = TRUE) / length(x = expr)) > ratio) { - expr <- as.sparse(x = expr) + # expr <- as.sparse(x = expr) + expr <- methods::as(expr, 'CsparseMatrix') } outs[[switch(EXPR = i, 'entire' = 'matrix', i)]] <- expr } @@ -1641,7 +1645,8 @@ readPhenoCyclerMat <- function( } mtx <- t(x = mtx) if ((sum(mtx == 0) / length(x = mtx)) > ratio) { - mtx <- as.sparse(x = mtx) + # mtx <- as.sparse(x = mtx) + mtx <- methods::as(mtx, 'CsparseMatrix') } list(matrix = mtx, centroids = centroids, metadata = md) }, @@ -1657,7 +1662,6 @@ readPhenoCyclerMat <- function( #' @param assay_name the assay name of the SR object #' @param sample_name the name of the sample #' @param image_name the image name of the Xenium assay, Default: main -#' @param filename Path to matrix generated by upstream processing. #' @param type Specify which type matrix is being provided. #' \itemize{ #' \item \dQuote{\code{processor}}: matrix generated by CODEX Processor diff --git 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sample_name = "GeoMxR1")


-
-

CosMx

+
+

CosMx (nanoString)

@@ -780,8 +780,8 @@

CosMx

CosMxR1 <- importCosMx(tiledbURI = "MuBrainDataRelease/", import_molecules = TRUE)


-
-

STOmics

+
-
-

GenePS

+
+
+

PhenoCycler (Akoya)

+ +

+ Image Credit: https://tep.cancer.illinois.edu/phenocycler-fusion-system/ + +

+

We use the importPhenoCycler function to import the +PhenoCycler (Akoya Biosciences) +readouts and create a VoltRon object. The function supports multiple +readouts types depending on how the readouts were generated, this is +controlled by the type arguement. For more information +on all arguements of the function, see +help(importPhenoCycler).

+

We used the Human FFPE tonsil tissue example with 83000 cells which +could be found here. +You have to download the contents and dir.path +arguement should be set to the location of the +Example-dataset-for-MAV folder.

+
vr_pheno <- importPhenoCycler(dir.path = "Example-dataset-for-MAV/", type = "processor", 
+                              sample_name = "Tonsil18AB")
+
VoltRon Object 
+Tonsil18AB: 
+  Layers: Section1 
+Assays: PhenoCycler(Main) 
+


+
+
+

OpenST

+ +

+ Image Credit: https://www.cell.com/cell/fulltext/S0092-8674(24)00636-6 + +

+

We use the importOpenST function to import the +OpenST https://rajewsky-lab.github.io/openst/latest/ +readouts and create a VoltRon object. The function will parse each +section from the output h5ad file, define it as an independent assay in +a single layer where these layers are ordered in a single tissue +block.

+

We use the metastatic lymph node example that is deposited to +NCBI/GEO (GSE251926). +Please use the +GSE251926_metastatic_lymph_node_3d.h5ad.gz file and +unzip it to use the importOpenST function below.

+
vr_openst <- importOpenST(h5ad.path = "GSE251926_metastatic_lymph_node_3d.h5ad", 
+                          sample_name = "MLN_3D")
+
VoltRon Object 
+MLN_3D: 
+  Layers: Section1 Section2 Section3 Section4 Section5 Section6 Section7 Section8 Section9 Section10 Section11 Section12 Section13 Section14 Section15 Section16 Section17 Section18 Section19 
+Assays: OpenST(Main) 
+


+

ST data

diff --git a/man/importOpenST.Rd b/man/importOpenST.Rd new file mode 100644 index 00000000..0c478d11 --- /dev/null +++ b/man/importOpenST.Rd @@ -0,0 +1,31 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/import.R +\name{importOpenST} +\alias{importOpenST} +\title{importOpenST} +\usage{ +importOpenST( + h5ad.path, + assay_name = "OpenST", + sample_name = NULL, + image_name = "main", + channel_name = "H&E", + ... +) +} +\arguments{ +\item{h5ad.path}{path to h5ad file of STOmics output} + +\item{assay_name}{the assay name} + +\item{sample_name}{the name of the sample} + +\item{image_name}{the image name of the Visium assay, Default: main} + +\item{channel_name}{the channel name of the image of the Visium assay, Default: H&E} + +\item{...}{additional parameters passed to \link{formVoltRon}} +} +\description{ +Importing OpenST data +} diff --git a/man/importPhenoCycler.Rd b/man/importPhenoCycler.Rd index bdf1bcbb..e21cb040 100644 --- a/man/importPhenoCycler.Rd +++ b/man/importPhenoCycler.Rd @@ -36,8 +36,6 @@ importPhenoCycler( \item{inform.quant}{When \code{type} is \dQuote{\code{inform}}, the quantification level to read in} \item{...}{additional parameters passed to \link{formVoltRon}} - -\item{filename}{Path to matrix generated by upstream processing.} } \description{ Title From 2399077f75de7e46be0db5f479497aef7d6565dd Mon Sep 17 00:00:00 2001 From: Artur-man Date: Sat, 27 Jul 2024 01:13:06 +0200 Subject: [PATCH 4/5] implement import function for DBIT-Seq and fix flipCoordinates for no images --- NAMESPACE | 2 + R/assay.R | 17 +++- R/import.R | 212 ++++++++++++++++++++++++++++------------ docs/importingdata.Rmd | 24 +++++ docs/importingdata.html | 30 ++++++ man/VoltRon-methods.Rd | 8 +- man/importDBITSeq.Rd | 37 +++++++ 7 files changed, 257 insertions(+), 73 deletions(-) create mode 100644 man/importDBITSeq.Rd diff --git a/NAMESPACE b/NAMESPACE index 85f58f82..dff238ca 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -157,6 +157,7 @@ export(getSpatialNeighbors) export(getUMAP) export(getVariableFeatures) export(importCosMx) +export(importDBITSeq) export(importGenePS) export(importGeoMx) export(importImageData) @@ -358,6 +359,7 @@ importFrom(utils,.DollarNames) importFrom(utils,capture.output) importFrom(utils,head) importFrom(utils,read.csv) +importFrom(utils,read.table) importFrom(uwot,umap) importFrom(waiter,spin_ring) importFrom(waiter,useWaiter) diff --git a/R/assay.R b/R/assay.R index b9313317..981db5ae 100644 --- a/R/assay.R +++ b/R/assay.R @@ -593,12 +593,21 @@ flipCoordinates.vrAssay <- function(object, image_name = NULL, spatial_name = NU if(!is.null(spatial_name)) image_name <- spatial_name + # get coordinates + coords <- vrCoordinates(object, image_name = image_name, ...) + # get image info - imageinfo <- magick::image_info(vrImages(object, name = image_name)) + # imageinfo <- magick::image_info(vrImages(object, name = image_name)) + image <- vrImages(object, name = image_name) + if(!is.null(image)){ + imageinfo <- magick::image_info(vrImages(object, name = image_name)) + height <- imageinfo$height + } else{ + height <- max(coords[,"y"]) + } # flip coordinates - coords <- vrCoordinates(object, image_name = image_name, ...) - coords[,"y"] <- imageinfo$height - coords[,"y"] + coords[,"y"] <- height - coords[,"y"] vrCoordinates(object, image_name = image_name, ...) <- coords # flip segments @@ -606,7 +615,7 @@ flipCoordinates.vrAssay <- function(object, image_name = NULL, spatial_name = NU if(length(segments) > 0){ name_segments <- names(segments) segments <- do.call("rbind", segments) - segments[,"y"] <- imageinfo$height - segments[,"y"] + segments[,"y"] <- height - segments[,"y"] segments <- split(segments, segments[,1]) names(segments) <- name_segments vrSegments(object, image_name = image_name, ...) <- segments diff --git a/R/import.R b/R/import.R index e9ce49c0..2ff14a6f 100644 --- a/R/import.R +++ b/R/import.R @@ -1358,71 +1358,6 @@ importSTOmics <- function(h5ad.path, assay_name = "STOmics", sample_name = NULL, formVoltRon(rawdata, metadata = metadata, coords = coords, main.assay = assay_name, params = params, assay.type = "spot", image_name = image_name, main_channel = channel_name, sample_name = sample_name, ...) } -#### -# OpenST #### -#### - -#' importOpenST -#' -#' Importing OpenST data -#' -#' @param h5ad.path path to h5ad file of STOmics output -#' @param assay_name the assay name -#' @param sample_name the name of the sample -#' @param image_name the image name of the Visium assay, Default: main -#' @param channel_name the channel name of the image of the Visium assay, Default: H&E -#' @param ... additional parameters passed to \link{formVoltRon} -#' -#' @importFrom methods as -#' @export -importOpenST <- function(h5ad.path, assay_name = "OpenST", sample_name = NULL, image_name = "main", channel_name = "H&E", ...) -{ - # check Seurat package - if(!requireNamespace('anndataR')) - stop("Please install anndataR package") - - # get h5ad data - stdata <- anndataR::read_h5ad(h5ad.path) - - # observation and feature names - obs_names <- stdata$obs_names - var_names <- stdata$var_names - - # raw counts - rawdata <- Matrix::t(stdata$X) - rownames(rawdata) <- var_names - colnames(rawdata) <- obs_names - rawdata <- methods::as(rawdata, 'CsparseMatrix') - - # metadata - metadata <- stdata$obs - rownames(metadata) <- obs_names - - # coordinates - coords <- stdata$obsm$spatial_3d_aligned - rownames(coords) <- obs_names - - # get individual sections as voltron data - sections <- unique(metadata$n_section) - sections <- sections[order(sections)] - vr_data_list <- list() - message("Creating Layers ...") - for(i in 1:length(sections)){ - ind <- metadata$n_section == sections[i] - spatialpoints <- rownames(metadata[metadata$n_section == sections[i],]) - cur_data <- Matrix::t(rawdata[spatialpoints,]) - cur_metadata <- metadata[spatialpoints,] - cur_coords <- coords[ind,c(1,2)] - rownames(cur_coords) <- spatialpoints - vr_data_list[[i]] <- formVoltRon(data = cur_data, metadata = cur_metadata, coords = cur_coords, - main.assay = assay_name, sample_name = paste0("Section", sections[i]), - image_name = image_name, main_channel = channel_name) - } - - # create VoltRon - merge(vr_data_list[[1]], vr_data_list[-1], samples = ifelse(is.null(sample_name), "Sample", sample_name)) -} - #### # Akoya #### #### @@ -1739,6 +1674,153 @@ importPhenoCycler <- function(dir.path, assay_name = "PhenoCycler", sample_name object } +#### +# Non-Commercial #### +#### + +#### +## OpenST #### +#### + +#' importOpenST +#' +#' Importing OpenST data +#' +#' @param h5ad.path path to h5ad file of STOmics output +#' @param assay_name the assay name +#' @param sample_name the name of the sample +#' @param image_name the image name of the Visium assay, Default: main +#' @param channel_name the channel name of the image of the Visium assay, Default: H&E +#' @param ... additional parameters passed to \link{formVoltRon} +#' +#' @importFrom methods as +#' @export +importOpenST <- function(h5ad.path, assay_name = "OpenST", sample_name = NULL, image_name = "main", channel_name = "H&E", ...) +{ + # check Seurat package + if(!requireNamespace('anndataR')) + stop("Please install anndataR package") + + # get h5ad data + stdata <- anndataR::read_h5ad(h5ad.path) + + # observation and feature names + obs_names <- stdata$obs_names + var_names <- stdata$var_names + + # raw counts + rawdata <- Matrix::t(stdata$X) + rownames(rawdata) <- var_names + colnames(rawdata) <- obs_names + rawdata <- methods::as(rawdata, 'CsparseMatrix') + + # metadata + metadata <- stdata$obs + rownames(metadata) <- obs_names + + # coordinates + coords <- stdata$obsm$spatial_3d_aligned + rownames(coords) <- obs_names + + # get individual sections as voltron data + sections <- unique(metadata$n_section) + sections <- sections[order(sections)] + vr_data_list <- list() + message("Creating Layers ...") + for(i in 1:length(sections)){ + ind <- metadata$n_section == sections[i] + spatialpoints <- rownames(metadata[metadata$n_section == sections[i],]) + cur_data <- Matrix::t(rawdata[spatialpoints,]) + cur_metadata <- metadata[spatialpoints,] + cur_coords <- coords[ind,c(1,2)] + rownames(cur_coords) <- spatialpoints + vr_data_list[[i]] <- formVoltRon(data = cur_data, metadata = cur_metadata, coords = cur_coords, + main.assay = assay_name, sample_name = paste0("Section", sections[i]), + image_name = image_name, main_channel = channel_name) + } + + # create VoltRon + merge(vr_data_list[[1]], vr_data_list[-1], samples = ifelse(is.null(sample_name), "Sample", sample_name)) +} + +#### +## DBIT-Seq #### +#### + +#' importDBITSeq +#' +#' Importing DBIT-Seq data +#' +#' @param path.rna path to rna count matrix +#' @param path.prot path to protein count matrix +#' @param size the size of the in situ pixel (defualt is 10 (micron)) +#' @param assay_name the assay name +#' @param sample_name the name of the sample +#' @param image_name the image name of the Visium assay, Default: main +#' @param channel_name the channel name of the image of the Visium assay, Default: H&E +#' @param ... additional parameters passed to \link{formVoltRon} +#' +#' @importFrom utils read.table +#' +#' @export +importDBITSeq <- function(path.rna, path.prot = NULL, size = 10, assay_name = "DBIT-Seq", sample_name = NULL, image_name = "main", channel_name = "H&E", ...) +{ + # count matrix RNA + rnadata <- utils::read.table(path.rna, header = TRUE, sep = "\t", row.names = 1) + rnadata <- t(as.matrix(rnadata)) + + # count matrix Protein + protdata <- utils::read.table(path.prot, header = TRUE, sep = "\t", row.names = 1) + protdata <- t(as.matrix(protdata)) + + # coords + coords <- sapply(colnames(rnadata), function(x) as.numeric(strsplit(x, split = "x")[[1]])) + coords <- t(coords) + colnames(coords) <- c("x", "y") + + # get DBIT-Seq parameters + params <- list( + spot.radius = size/2, + vis.spot.radius = size, + nearestpost.distance = size*2*sqrt(2)) + coords <- coords*size*3/2 + + # make voltron object + object <- formVoltRon(data = rnadata, coords = coords, image = NULL, assay.type = "spot", params = params, image_name = "main", + main.assay = paste0(assay_name, "-RNA"), sample_name = sample_name, ...) + + # add protein assay + if(!is.null(path.prot)){ + + # create protein assay + new_assay <- formAssay(data = protdata, + coords = coords, + type = "spot") + new_assay@image <- object[["Assay1"]]@image + sample.metadata <- SampleMetadata(object) + + # add new assay + object <- addAssay(object, + assay = new_assay, + metadata = Metadata(object), + assay_name = paste(assay_name, "Prot", sep = "-"), + sample = sample.metadata["Assay1", "Sample"], + layer = sample.metadata["Assay1", "Layer"]) + + # add connectivity of spatial points across assays + connectivity <- cbind(vrSpatialPoints(object, assay = "Assay1"), + vrSpatialPoints(object, assay = "Assay2")) + object <- addConnectivity(object, + connectivity = connectivity, + sample = sample.metadata["Assay1", "Sample"], + layer = sample.metadata["Assay1", "Layer"]) + + } + + # return + return(object) +} + #### # Image Data #### #### diff --git a/docs/importingdata.Rmd b/docs/importingdata.Rmd index 5107e70a..c0da5771 100644 --- a/docs/importingdata.Rmd +++ b/docs/importingdata.Rmd @@ -416,6 +416,30 @@ Assays: OpenST(Main)
+## DBIT-Seq + + +

Image Credit: https://www.cell.com/cell/fulltext/S0092-8674(20)31390-8

+ +We use the **importDBITSeq** function to import the OpenST [https://www.cell.com/cell/fulltext/S0092-8674(20)31390-8](https://www.cell.com/cell/fulltext/S0092-8674(20)31390-8) readouts and create a VoltRon object. The default path to the rna count matrix is accompanied by the path to the protein count matrix, which is optional. The **size** parameter here determines the size of each square pixel on the DBIT-Seq slide (default is 10$\mu$m). + +We use the example with developing eye field in a E10 mouse embryo using 10-μm microfluidic (sample id: 0719cL for RNA, and 0719aL for Protein) channels that is deposited to NCBI/GEO ([GSE137986](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137986)). + +```{r eval = FALSE, class.source="watch-out"} +vr_dbit <- importDBITSeq(path.rna = "GSM4189615_0719cL.tsv", + path.prot = "GSM4202309_0719aL.tsv", + size = 10, sample_name = "E10_Eye_2", image_name = "main") +``` + +``` +VoltRon Object +E10_Eye_2: + Layers: Section1 +Assays: DBIT-Seq-RNA(Main) DBIT-Seq-Prot +``` + +
+ ## ST data diff --git a/docs/importingdata.html b/docs/importingdata.html index 7ce2253d..ca60935e 100644 --- a/docs/importingdata.html +++ b/docs/importingdata.html @@ -898,6 +898,36 @@

OpenST

Assays: OpenST(Main)


+
+

DBIT-Seq

+ +

+ Image Credit: https://www.cell.com/cell/fulltext/S0092-8674(20)31390-8 + +

+

We use the importDBITSeq function to import the +OpenST https://www.cell.com/cell/fulltext/S0092-8674(20)31390-8 +readouts and create a VoltRon object. The default path to the rna count +matrix is accompanied by the path to the protein count matrix, which is +optional. The size parameter here determines the size +of each square pixel on the DBIT-Seq slide (default is 10\(\mu\)m).

+

We use the example with developing eye field in a E10 mouse embryo +using 10-μm microfluidic (sample id: 0719cL for RNA, and 0719aL for +Protein) channels that is deposited to NCBI/GEO (GSE137986).

+
vr_dbit <- importDBITSeq(path.rna = "GSM4189615_0719cL.tsv", 
+                         path.prot = "GSM4202309_0719aL.tsv", 
+                         size = 10, sample_name = "E10_Eye_2", image_name = "main")
+
VoltRon Object 
+E10_Eye_2: 
+  Layers: Section1 
+Assays: DBIT-Seq-RNA(Main) DBIT-Seq-Prot 
+


+

ST data

diff --git a/man/VoltRon-methods.Rd b/man/VoltRon-methods.Rd index 6b2acb1c..ea21badd 100644 --- a/man/VoltRon-methods.Rd +++ b/man/VoltRon-methods.Rd @@ -8,10 +8,10 @@ \alias{.DollarNames.VoltRon} \alias{[[,VoltRon,character,missing-method} \alias{[[,VoltRon-methods} -\alias{[[<-,VoltRon,character,missing-method} +\alias{[[<-,VoltRon,character,missing,ANY-method} \alias{[[<-,VoltRon-methods} \alias{[[,VoltRon,character,character-method} -\alias{[[<-,VoltRon,character,character-method} +\alias{[[<-,VoltRon,character,character,ANY-method} \title{Methods for VoltRon} \usage{ \method{$}{VoltRon}(x, i, ...) @@ -22,11 +22,11 @@ \S4method{[[}{VoltRon,character,missing}(x, i, j, ...) -\S4method{[[}{VoltRon,character,missing}(x, i, j, ...) <- value +\S4method{[[}{VoltRon,character,missing,ANY}(x, i, j, ...) <- value \S4method{[[}{VoltRon,character,character}(x, i, j, ...) -\S4method{[[}{VoltRon,character,character}(x, i, j, ...) <- value +\S4method{[[}{VoltRon,character,character,ANY}(x, i, j, ...) <- value } \arguments{ \item{x}{A VoltRon object} diff --git a/man/importDBITSeq.Rd b/man/importDBITSeq.Rd new file mode 100644 index 00000000..832fa225 --- /dev/null +++ b/man/importDBITSeq.Rd @@ -0,0 +1,37 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/import.R +\name{importDBITSeq} +\alias{importDBITSeq} +\title{importDBITSeq} +\usage{ +importDBITSeq( + path.rna, + path.prot = NULL, + size = 10, + assay_name = "DBIT-Seq", + sample_name = NULL, + image_name = "main", + channel_name = "H&E", + ... +) +} +\arguments{ +\item{path.rna}{path to rna count matrix} + +\item{path.prot}{path to protein count matrix} + +\item{size}{the size of the in situ pixel (defualt is 10 (micron))} + +\item{assay_name}{the assay name} + +\item{sample_name}{the name of the sample} + +\item{image_name}{the image name of the Visium assay, Default: main} + +\item{channel_name}{the channel name of the image of the Visium assay, Default: H&E} + +\item{...}{additional parameters passed to \link{formVoltRon}} +} +\description{ +Importing DBIT-Seq data +} From 28e42b3d593c9d11533caa31653df486bd612d66 Mon Sep 17 00:00:00 2001 From: Artur-man Date: Sat, 27 Jul 2024 01:16:30 +0200 Subject: [PATCH 5/5] fix import data tutorial --- docs/importingdata.Rmd | 8 ++++---- docs/importingdata.html | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/importingdata.Rmd b/docs/importingdata.Rmd index c0da5771..37f8010d 100644 --- a/docs/importingdata.Rmd +++ b/docs/importingdata.Rmd @@ -193,7 +193,7 @@ Xen_R1 <- importXenium("Xenium_R1/outs", sample_name = "XeniumR1", import_molecu
-## GeoMx (nanoString) +## GeoMx (NanoString)

Image Credit: https://www.biochain.com/nanostring-geomx-digital-spatial-profiling/

@@ -279,7 +279,7 @@ GeoMxR1 <- importGeoMx(dcc.path = "DCC-20230427/",
-## CosMx (nanoString) +## CosMx (NanoString) @@ -418,8 +418,8 @@ Assays: OpenST(Main) ## DBIT-Seq - -

Image Credit: https://www.cell.com/cell/fulltext/S0092-8674(20)31390-8

+ +

Image Credit: https://www.cell.com/cell/fulltext/S0092-8674(20)31390-8

We use the **importDBITSeq** function to import the OpenST [https://www.cell.com/cell/fulltext/S0092-8674(20)31390-8](https://www.cell.com/cell/fulltext/S0092-8674(20)31390-8) readouts and create a VoltRon object. The default path to the rna count matrix is accompanied by the path to the protein count matrix, which is optional. The **size** parameter here determines the size of each square pixel on the DBIT-Seq slide (default is 10$\mu$m). diff --git a/docs/importingdata.html b/docs/importingdata.html index ca60935e..94b1bdb5 100644 --- a/docs/importingdata.html +++ b/docs/importingdata.html @@ -608,7 +608,7 @@

Xenium (10x Genomics)


-

GeoMx (nanoString)

+

GeoMx (NanoString)

Image Credit: GeoMx (nanoString)


-

CosMx (nanoString)

+

CosMx (NanoString)

@@ -900,8 +900,8 @@

OpenST

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