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Updated: Nov 10, 2025

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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
Published on: September 16, 2019
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Modular, efficient and constant-memory single-cell RNA-seq preprocessing
Páll Melsted1, A Sina Booeshaghi2, Lauren Liu3
1Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Reykjavik, Iceland.
Nature Biotechnology
|April 2, 2021
Abstract:
We describe a workflow for preprocessing of single-cell RNA-sequencing data that balances efficiency and accuracy. Our workflow is based on the kallisto and bustools programs, and is near optimal in speed with a constant memory requirement providing scalability for arbitrarily large datasets. The workflow is modular, and we demonstrate its flexibility by showing how it can be used for RNA velocity analyses.
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