Changes in version 1.4.0                        

New features

  - 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

Bug fixes and minor improvements

  - Metadata information (function call and call to technology map)
    included in SingleCellMultiModal
  - scNMT includes the original call in the MultiAssayExperiment
    metadata
  - Improved and edited Contributing Guidelines for clarity
  - seqFISH uses the spatialData argument with DataFrame input based on
    changes to SpatialExperiment (@drighelli)
  - Removed the extra column in the sampleMap in CITEseq (@drighelli)

                        Changes in version 1.2.0                        

New features

  - 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 the mouse_gastrulation data version
  - The data includes all cells not only the ones that passed the QC of
    all three 'omics (thanks @rargelaguet, @ajabadi).

Bug fixes and minor improvements

  - Caching mechanism uses tools::R_user_dir and not rappdirs.
  - 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 in scNMT function now set to "2.0.0"
    (version "1.0.0" still available)

                        Changes in version 1.0.0                        

New features

  - 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

Bug fixes and minor improvements

  - Row names in the scNMT dataset properly show mouse ENSEMBL
    identifiers