Changes in version 0.99.12 (2021-05-18)
+ replace xlsx by openxlsx

Changes in version 0.99.11 (2021-05-10)
+ rename function normalize to normalizeAssay
+ rename function transform to transformAssay
+ rename function batch to batchCorrectionAssay
+ rename function impute to imputeAssay

Changes in version 0.99.10 (2021-05-06)
+ bump version to trigger building

Changes in version 0.99.9 (2021-04-29)
+ add hexbin in Suggests
+ fix bug in MAplot that plot is displayed properly

Changes in version 0.99.8 (2021-04-28)
+ set required version for S4Vectors to >= 0.29.15

Changes in version 0.99.7 (2021-04-28)
+ add version number of dependencies in Description file

Changes in version 0.99.6 (2021-04-27)
+ add MatrixQCvis to Watched Tags on the Bioconductor support site

Changes in version 0.99.5 (2021-04-27)
+ reduce file size of vignette by using partial_bundle for driftPlot

Changes in version 0.99.4 (2021-04-26)
+ reduce package dependencies 
  - remove magick
  - use stats::cmdscale instead of ape::pcoa
  - remove MsCoreUtils
  - remove preprocessCore
  - remove Matrix
+ add explained variance for PCoA
+ add se argument in create_boxplot that allows for ordering the samples
+ use ggplotly for driftPlot
+ allow flexible addition of samples in MA-plot based on a supplied character
  vector of sample names
+ return SummarizedExperiment when exiting the shiny application
+ add function maxQuant that allows for creation of SummarizedExperiment 
  objects from maxQuant output (.xlsx files)

Changes in version 0.99.3 (2021-03-18)
+ reduce file size of vignette by using partial_bundle for plotly figures

Changes in version 0.99.2 (2021-03-18)
+ reduce resolution of images in vignette to reduce file size 

Changes in version 0.99.1 (2021-03-17)
+ reduce file size of vignette 

Changes in version 0.99.0 (2021-03-12)
+ shinyQC including visualizations/functionality for 
  - histogram of sample types,
  - information on number of missing/measured values
  - information on (intersecting, disjoint) sets for missing/measured values
  - barplot and violin plot for (count/intensity) values
  - visualization to detect drifts/trends in (count/intensity) values
  - coefficients of variation for samples,
  - mean-sd plots,
  - MA plots,
  - empirical cumulative distribution function,
  - visualizations of distances between samples,
  - intensities of features and coefficients of variation of features,
  - dimension reduction plots (PCA, PCoA, NMDS, tSNE, UMAP)
  - differential expression
+ write functions for data manipulation and plots 
+ write tests for these functions
+ create UI and server modules for shinyQC
+ write tests for UI and server modules
+ load different UI elements depending on the type of data (if the data 
  contains missing values or is complete)
+ load different UI if the SummarizedExperiment is loaded on start of shinyQC
  or not