A collection of tools for various bioinformatics tasks.
Project description
A collection (read: hodgepodge) of tools for bioinformatics tasks.
Features
Tools:
TF-IDF marker gene testing (“quickMarkers”), as in SoupX
JASMINE gene set scoring, as in Noureen et al.
Over-representation analyses (ORAs) with gProfiler
Cell mask generation based on geometric sketching, as in Geosketch
Cell mask generation based on embedding (i.e. UMAP) coordinate bounds
Z-standard scaling of gene expression on a per-group basis
Basic single-cell variant calling for single point mutations
Plotting:
Split embedding plot generation based on categorical observations
Stacked barplot generation of cell proportions split by group and counts normalized per-batch
Barplot generation for gProfiler ORA results, with optional term fold enrichment sorting
Utilities:
Identification of genes often left ignored, like AW146154
Combination of categorical columns maintaining specified ordering
Installation
$ pip install python-bioinformagicks
Documentation
Credits
This package was created by Sylvia N. Michki.
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
License
Free software: GNU General Public License v3
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