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Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

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

Dongze He¹, Rob Patro²

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

Biorxiv : the Preprint Server for Biology

|April 10, 2023

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simpleaf simplifies single-cell data processing within the alevin-fry ecosystem. This new tool enhances functionality and capabilities while maintaining the performance and flexibility of existing single-cell analysis workflows.

Area of Science:

Computational biology
Bioinformatics

Background:

The alevin-fry ecosystem offers powerful tools for single-cell data processing.
Increasing complexity in single-cell technologies and best practices necessitates streamlined workflows.

Approach:

Introducing simpleaf, a new program designed to simplify preprocessing in the alevin-fry ecosystem.
simpleaf leverages existing alevin-fry tools while adding new functionalities and capabilities.

Key Points:

simpleaf maintains the performance and flexibility of the alevin-fry ecosystem.
The program is implemented in Rust and released under a BSD 3-Clause license.
Freely available on GitHub and bioconda with comprehensive documentation and tutorials.

Conclusions:

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simpleaf effectively manages the complexity of single-cell preprocessing.
Enhances user experience and accessibility for single-cell data analysis.