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

bioRxiv

Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA.

Published: March 2023

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 are being developed that can be accessed at https://combine-lab.github.io/alevin-fry-tutorials .

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081176PMC
http://dx.doi.org/10.1101/2023.03.28.534653DOI Listing

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