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

dc.contributor.advisorPatro, Rob
dc.contributor.authorHe, Dongze
dc.contributor.authorPatro, Rob
dc.date.accessioned2023-11-08T21:42:41Z
dc.date.available2023-11-08T21:42:41Z
dc.date.issued2023-10-06
dc.description.abstractThe 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.
dc.description.sponsorshipThis work was supported by the US National Institutes of Health [R01 HG009937], and the US National Science Foundation [CCF-1750472 and CNS-1763680]. Partial funding for open access is provided by the UMD Libraries’ Open Access Publishing Fund. Also, this project has been made possible in part by grant number 2022-252586 from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation.
dc.description.urihttps://doi.org/10.1093/bioinformatics/btad614
dc.identifierhttps://doi.org/10.13016/dspace/apjk-4dsh
dc.identifier.citationDongze 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
dc.identifier.urihttp://hdl.handle.net/1903/31329
dc.language.isoen_US
dc.publisherOUP Bioinformatics
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.rightsAttribution-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/us/*
dc.subjectComputational Biology
dc.subjectSingle Cell
dc.subjectSequence Analysis
dc.subjectSoftware Engineering
dc.titlesimpleaf: a simple, flexible, and scalable framework for single-cell data processing using alevin-fry
dc.typeArticle
local.equitableAccessSubmissionYes

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