Code and sample data generated for "A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens".
python src/seq_analysis.py
This produces nandbar.npz
which contains a list of a pair of NNN sequences and the associated epitope combinations.
python tests/tests_align.py
python tests/tests_unmixing.py
data
also contains sample setting files of CellTK for tracking live single-cell trajectories.
data/livecell_celltk0.yml
data/livecell_celltk1.yml
For U-Net based segmentation, it requires pre-trained weights in HDF5 file. The hdf5 file is produced by training dataset with CellUNet.