Metadata-Version: 2.1
Name: kb-python
Version: 0.24.2
Summary: Python wrapper around kallisto | bustools for scRNA-seq analysis
Home-page: https://github.com/pachterlab/kb_python
Author: Kyung Hoi (Joseph) Min
Author-email: phoenixter96@gmail.com
Maintainer: Pachter Lab
Maintainer-email: lsledd@caltech.edu
License: BSD
Keywords: kallisto bustools
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Utilities
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: anndata (>=0.6.22.post1)
Requires-Dist: loompy (>=3.0.6)

# kb-python
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kb-python is a python package that wraps the [kallisto | bustools](https://www.kallistobus.tools) single-cell RNA-seq workflow [1]. It was developed by Kyung Hoi (Joseph) Min and A. Sina Booeshaghi.

The wrapper simplifies downloading and running of the kallisto
[1] and bustools [2] programs. It was inspired by Sten Linnarsson’s `loompy
fromfq` command (http://linnarssonlab.org/loompy/kallisto/index.html)

The `kb` program consists of two parts:

The `kb ref` command builds or downloads a species-specific index for
pseudoalignment of reads. This command must be run prior to `kb count`, and it
runs the `kallisto index` [1].

The `kb count` command runs the kallisto [1] and bustools [2] programs. It can
be used for pre-processing of data from a variety of single-cell RNA-seq
technologies, and for a number of different workflows (e.g. production of gene
count matrices, RNA velocity analyses, etc.). The output can be saved in a
variety of formats including mtx and loom.

If you use `kb` we ask that you cite the following two papers:

[1] Bray, N. L., Pimentel, H., Melsted, P., & Pachter, L. (2016). Near-optimal
probabilistic RNA-seq quantification. Nature biotechnology, 34(5), 525.

[2] Melsted, P., Booeshaghi, A. S., Gao, F., da Veiga Beltrame, E., Lu, L.,
Hjorleifsson, K. E., Gehring, J., & Pachter, L. (2019). Modular and efficient
pre-processing of single-cell RNA-seq. BioRxiv, 673285.

## Prerequisites
None. The kallisto and bustools binaries are included with the package.

## Getting Started
Visit the [Getting Started](https://www.kallistobus.tools/kb_getting_started) page.

## Documentation
- User documentation and tutorials are available [here](https://www.kallistobus.tools/tutorials).
- Developer documentation is hosted on [Read the Docs](https://kb-python.readthedocs.io/en/latest/).


