Say hello to MuData
Say hello to MuData#
MuData is a format for annotated multimodal datasets. MuData is native to Python but provides cross-language functionality via HDF5-based
MuData objects as containers#
mudata package introduces multimodal data objects (
mudata.MuData class) allowing Python users to work with increasigly complex datasets efficiently and to build new workflows and computational tools around it.
MuData object with n_obs × n_vars = 10110 × 110101 2 modalities atac: 10110 x 100001 rna: 10110 x 10100
MuData objects enable multimodal information to be stored & accessed naturally, embrace AnnData for the individual modalities, and can be serialized to
.h5mu files. Learn more about multimodal objects as well as file formats for storing & sharing them.
MuData objects feature an AnnData-like interface and familiar concepts such as observations and variables for the two data dimensions. Get familiar with MuData in the Quickstart tutorial.
Handling MuData objects#
A flagship framework for multimodal omics analysis —
muon — has been built around the MuData format. Find more information on it in its documentation and on the tutorials page as well as in the corresponding publication.