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

Author:

He Dongze1ORCID,Patro Rob2ORCID

Affiliation:

1. Department of Cell Biology and Molecular Genetics and Center for Bioinformatics and Computational Biology , University of Maryland , College Park, MD, 20742, United States

2. Department of Computer Science and Center for Bioinformatics and Computational Biology , University of Maryland , College Park, MD, 20742, United States

Abstract

Abstract Summary 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. Availability and implementation 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.

Funder

US National Institutes of Health

US National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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