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

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...

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Detalles Bibliográficos
Autores principales: He, Dongze, Patro, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081176/
https://www.ncbi.nlm.nih.gov/pubmed/37034702
http://dx.doi.org/10.1101/2023.03.28.534653
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author He, Dongze
Patro, Rob
author_facet He, Dongze
Patro, Rob
author_sort He, Dongze
collection PubMed
description 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.
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spelling pubmed-100811762023-04-08 simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry He, Dongze Patro, Rob bioRxiv Article 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. Cold Spring Harbor Laboratory 2023-03-29 /pmc/articles/PMC10081176/ /pubmed/37034702 http://dx.doi.org/10.1101/2023.03.28.534653 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
He, Dongze
Patro, Rob
simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry
title simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry
title_full simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry
title_fullStr simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry
title_full_unstemmed simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry
title_short simpleaf: A simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry
title_sort simpleaf: a simple, flexible, and scalable framework for single-cell transcriptomics data processing using alevin-fry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081176/
https://www.ncbi.nlm.nih.gov/pubmed/37034702
http://dx.doi.org/10.1101/2023.03.28.534653
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