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Related Experiment Video

Updated: Jul 14, 2025

Automation of Bio-Atomic Force Microscope Measurements on Hundreds of C. albicans Cells

Automation of Bio-Atomic Force Microscope Measurements on Hundreds of C. albicans Cells

Published on: April 2, 2021

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

Dongze He¹, Rob Patro²

¹Department of Cell Biology and Molecular Genetics and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, 20742, United States.

Bioinformatics (Oxford, England)

|October 6, 2023

Summary

This summary is machine-generated.

Simpleaf simplifies complex single-cell data processing using the alevin-fry ecosystem. This new tool enhances functionality and performance while maintaining flexibility for researchers.

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Area of Science:

Computational Biology
Bioinformatics

Background:

The alevin-fry ecosystem offers tools for single-cell data processing.
Increasing complexity and new technologies necessitate streamlined workflows.

Purpose of the Study:

Introduce simpleaf, a program to simplify and enhance single-cell data preprocessing.
Retain the performance and flexibility of existing alevin-fry tools.

Main Methods:

Developed simpleaf in Rust.
Integrated tools from the alevin-fry ecosystem.

Main Results:

Simpleaf simplifies single-cell data processing workflows.
Added new functionality and capabilities to the alevin-fry ecosystem.
Maintained the performance and flexibility of underlying tools.

Conclusions:

Simpleaf effectively manages the complexity of single-cell preprocessing.
Provides a flexible, high-performance solution for single-cell data analysis.