simpleaf: a simple, flexible, and scalable framework for single-cell data processing using alevin-fry
dc.contributor.advisor | Patro, Rob | |
dc.contributor.author | He, Dongze | |
dc.contributor.author | Patro, Rob | |
dc.date.accessioned | 2023-11-08T21:42:41Z | |
dc.date.available | 2023-11-08T21:42:41Z | |
dc.date.issued | 2023-10-06 | |
dc.description.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. | |
dc.description.sponsorship | This 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.uri | https://doi.org/10.1093/bioinformatics/btad614 | |
dc.identifier | https://doi.org/10.13016/dspace/apjk-4dsh | |
dc.identifier.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 | |
dc.identifier.uri | http://hdl.handle.net/1903/31329 | |
dc.language.iso | en_US | |
dc.publisher | OUP Bioinformatics | |
dc.relation.isAvailableAt | Digital Repository at the University of Maryland | |
dc.relation.isAvailableAt | University of Maryland (College Park, Md) | |
dc.rights | Attribution-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/3.0/us/ | * |
dc.subject | Computational Biology | |
dc.subject | Single Cell | |
dc.subject | Sequence Analysis | |
dc.subject | Software Engineering | |
dc.title | simpleaf: a simple, flexible, and scalable framework for single-cell data processing using alevin-fry | |
dc.type | Article | |
local.equitableAccessSubmission | Yes |
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