- Added citation information to the package; see
citation("SingleCellMultiModal")
and the vignette.
- The
ontomap
function provides a reference table of ontology IDs and cell names by data type available in the package. scRNAseq
colData
added tocord_blood
andperipheral_blood
datasets provided by theCITEseq
function. (@drighelli)
- When using
HDF5
asformat
input inscMultiome
, the filtering of file paths obtained fromExperimentHub
has been fixed. - Using
BiocBaseUtils
internally to handle assertions and checks.
- Added Ludwig Geistlinger as author (@lgeistlinger) for contributing the
GTseq
dataset.
- Updated the reference in the
SCoPE2
vignette (@cvanderaa).
scMultiome
version1.0.1
provides the 10X format for RNAseq data.
- Updates to
seqFISH
vignette and documentation. - Updated to changes in
SummarizedExperiment
whereassayDimnames
are checked. scNMT
defaults to version '1.0.0's QC filtered cells. For unfiltered cells see version section in?scNMT
.
SingleCellMultiModal
function allows the combination of multiple multi-modal technologies.GTseq
data from Macaulay et al. (2015) now available (@lgeistlinger)SCoPE2
data from Specht et al. now available thanks to @cvanderaa (#26)scMultiome
provides PBMC from 10X Genomics thanks to @rargelaguet
- Metadata information (function call and call to technology map) included in
SingleCellMultiModal
scNMT
includes the original call in theMultiAssayExperiment
metadata- Improved and edited Contributing Guidelines for clarity
seqFISH
uses thespatialData
argument withDataFrame
input based on changes toSpatialExperiment
(@drighelli)- Removed the extra column in the
sampleMap
inCITEseq
(@drighelli)
CITEseq
function, vignette, and 'cord_blood' data available (@drighelli, #18)- Include
seqFISH
function, vignette, and 'mouse_visual_cortex' data (v1 and v2 from @drighelli, #14) - New 'mouse_gastrulation' dataset released (version "2.0.0").
- Use
version
argument to indicate themouse_gastrulation
data version - The data includes all cells not only the ones that passed the QC of all three 'omics (thanks @rargelaguet, @ajabadi).
- Caching mechanism uses
tools::R_user_dir
and notrappdirs
. - Improved display of available data using
ExperimentHub
metadata. - Improved documentation explaining versioning differences.
- Contribution guidelines available at https://github.com/waldronlab/SingleCellMultiModal/wiki/Contributing-Guidelines
- Default
version
argument inscNMT
function now set to "2.0.0" (version "1.0.0" still available)
scNMT
serves the mouse gastrulation dataset from Argelaguet et al. 2019- Data set is provided by Argelaguet and colleagues via CloudStor link: https://cloudstor.aarnet.edu.au/plus/s/Xzf5vCgAEUVgbfQ
- GitHub repository for the dataset by the authors available at: https://github.com/rargelaguet/scnmt_gastrulation
- Row names in the scNMT dataset properly show mouse ENSEMBL identifiers