AliGater: a framework for the development of bioinformatic pipelines for large-scale, high-dimensional cytometry data

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Abstract

Motivation: AliGater is an open-source framework to accelerate the development of bioinformatic pipelines for the analysis of large-scale, high-dimensional flow cytometry data. AliGater provides a Python package for automatic feature extraction workflows, as well as building blocks to construct analysis pipelines. Results: We illustrate the use of AliGater in a high-resolution flow cytometry-based genome-wide association study on 46 immune cell populations in 14 288 individuals.

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Ekdahl, L., Arrizabalaga, A. L., Ali, Z., Cafaro, C., Lopez de Lapuente Portilla, A., & Nilsson, B. (2023). AliGater: a framework for the development of bioinformatic pipelines for large-scale, high-dimensional cytometry data. Bioinformatics Advances, 3(1). https://doi.org/10.1093/bioadv/vbad103

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