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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/.

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