simpleaf: a simple, flexible, and scalable framework for single-cell data processing using alevin-fry

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Date

2023-10-06

Citation

Dongze He, Rob Patro, simpleaf: a simple, flexible, and scalable framework for single-cell data processing using alevin-fry, Bioinformatics, Volume 39, Issue 10, October 2023, btad614, https://doi.org/10.1093/bioinformatics/btad614

Abstract

The alevin-fry ecosystem provides a robust and growing suite of programs for single-cell data processing. However, as new single-cell technologies are introduced, as the community continues to adjust best practices for data processing, and as the alevin-fry ecosystem itself expands and grows, it is becoming increasingly important to manage the complexity of alevin-fry’s single-cell preprocessing workflows while retaining the performance and flexibility that make these tools enticing. We introduce simpleaf, a program that simplifies the processing of single-cell data using tools from the alevin-fry ecosystem, and adds new functionality and capabilities, while retaining the flexibility and performance of the underlying tools.

Simpleaf is written in Rust and released under a BSD 3-Clause license. It is freely available from its GitHub repository https://github.com/COMBINE-lab/simpleaf, and via bioconda. Documentation for simpleaf is available at https://simpleaf.readthedocs.io/en/latest/ and tutorials for simpleaf that have been developed can be accessed at https://combine-lab.github.io/alevin-fry-tutorials.

Notes

Rights

Attribution-ShareAlike 3.0 United States
http://creativecommons.org/licenses/by-sa/3.0/us/