GTseq assembles data on-the-fly from ExperimentHub
to provide
a
MultiAssayExperiment
container. The DataType
argument provides access to the
mouse_embryo_8_cell
dataset as obtained from Macaulay et al. (2015).
Protocol information for this dataset is available from Macaulay et al.
(2016). See references.
Usage
GTseq(
DataType = "mouse_embryo_8_cell",
modes = "*",
version = "1.0.0",
dry.run = TRUE,
verbose = TRUE,
...
)
Arguments
- DataType
character(1)
Indicates study that produces this type of data (default: 'mouse_embryo_8_cell')- modes
character()
A wildcard / glob pattern of modes, such as"*omic"
. A wildcard of"*"
will return all modes including copy numbers ("genomic") and RNA-seq read counts ("transcriptomic"), which is the default.- version
character(1)
Currently, only version '1.0.0'.- dry.run
logical(1)
Whether to return the dataset names before actual download (defaultTRUE
)- verbose
logical(1)
Whether to show the dataset currently being (down)loaded (defaultTRUE
)- ...
Additional arguments passed on to the ExperimentHub constructor
Value
A single cell multi-modal
MultiAssayExperiment or
informative data.frame
when dry.run
is TRUE
Details
G&T-seq is a combination of Picoplex amplified gDNA sequencing (genome) and SMARTSeq2 amplified cDNA sequencing (transcriptome) of the same cell. For more information, see Macaulay et al. (2015). * mouse_embryo_8_cell: this dataset was filtered for bad cells as specified in Macaulay et al. (2015). * genomic - integer copy numbers as detected from scDNA-seq * transcriptomic - raw read counts as quantified from scRNA-seq
metadata
The MultiAssayExperiment
metadata includes the original function call
that saves the function call and the data version requested.