Tools for pre-processing and visualizing Visium HD spatial transcriptomics data.
Project description
Tools for pre-processing and visualizing Visium HD spatial transcriptomics data.
Features
Read in raw VisiumHD data and convert to SpatialData objects
Quality control metric plotting and image plotting
Destripe counts from raw 2um bins
Write updated counts back to raw VisiumHD data format
Installation
Install from PyPI:
pip install visiumhd-utils
Usage
import visiumhd_utils.read_data as rd
import visiumhd_utils.qc_plot as qp
import visiumhd_utils.destripe as ds
import visiumhd_utils.write_data as wd
sdata = rd.to_spatialdata("path/to/data", "id")
qp.compute_qc_metrics(sdata)
qp.plot_qc_metrics(sdata, "id", metric="pct_counts_mt")
ds.destripe_b2c(sdata)
wd.write_2um_filtered_counts(sdata, "path/to/folder")
Project Status
This package is in early development. Use with caution; interfaces may change. Tests haven’t been implemented and will be added in a future version.
Note
This project has been set up using PyScaffold 4.6. For details and usage information on PyScaffold see https://pyscaffold.org/.
Project details
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