Changes in version 1.4.0 o Add arguments to control how slots are converted in AnnData2SCE() and SCE2AnnData(). Each slot can now be fully converted, skipped entirely or only selected items converted. o Add support for converting the raw slot to an altExp in AnnData2SCE() o Add recursive conversion of lists in AnnData2SCE() o Add progress messages to various functions. These can be controlled by function arguments or a global variable. o Add long tests for various public datasets. This should help to make the package more robust o Fix bug in converting dgRMatrix sparse matrices o Correctly handle DataFrame objects stored in adata.obsm Changes in version 1.2.0 o Update *anndata* and other Python dependencies, now using *anndata* v0.7.6 o Improved conversion checks for all slots in AnnData2SCE() o Enable return conversion of the varm slot in AnnData2SCE() o Avoid converting obsp and varp to dense matrices in AnnData2SCE() o AnnData2SCE() should now always return dgCMatrix matrices when assays are sparse o More consistent conversion of metadata to uns in SCE2AnnData() o Handle conversion of list columns in colData and rowData in SCE2AnnData() o Better support for converting *anndata* SparseDataset arrays o Improved support for conversion of HDF5 backed AnnData objects o Better support for writing DelayedArray assays in writeH5AD() o Store X_name in AnnData2SCE() for use by SCE2AnnData() and add an X_name argument to AnnData2SCE() and readH5AD() o Add a compression argument to writeH5AD() o Add an experimental native R reader to readH5AD() o Export zellkonverterAnnDataEnv for use by other packages Changes in version 1.0.0 o Accepted into Bioconductor for Release 3.12 o zellkonverter provides methods to convert between Python AnnData objects and SingleCellExperiment objects. These are primarily intended for use by downstream Bioconductor packages that wrap Python methods for single-cell data analysis. It also includes functions to read and write H5AD files used for saving AnnData objects to disk.