AliGater : a framework for the development of bioinformatic pipelines for large-scale, high-dimensional cytometry data
(2023) In Bioinformatics Advances 3(1).- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/80e05ddf-ef96-4db3-bdc8-adbb3357241a
- author
- Ekdahl, Ludvig LU ; Arrizabalaga, Antton Lamarca LU ; Ali, Zain LU ; Cafaro, Caterina LU ; Lopez de Lapuente Portilla, Aitzkoa LU and Nilsson, Björn LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Bioinformatics Advances
- volume
- 3
- issue
- 1
- article number
- vbad103
- publisher
- Oxford University Press
- external identifiers
-
- pmid:37600847
- scopus:85170072057
- ISSN
- 2635-0041
- DOI
- 10.1093/bioadv/vbad103
- language
- English
- LU publication?
- yes
- id
- 80e05ddf-ef96-4db3-bdc8-adbb3357241a
- date added to LUP
- 2023-11-03 11:06:55
- date last changed
- 2024-04-19 03:31:44
@article{80e05ddf-ef96-4db3-bdc8-adbb3357241a, abstract = {{<p>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.</p>}}, author = {{Ekdahl, Ludvig and Arrizabalaga, Antton Lamarca and Ali, Zain and Cafaro, Caterina and Lopez de Lapuente Portilla, Aitzkoa and Nilsson, Björn}}, issn = {{2635-0041}}, language = {{eng}}, number = {{1}}, publisher = {{Oxford University Press}}, series = {{Bioinformatics Advances}}, title = {{AliGater : a framework for the development of bioinformatic pipelines for large-scale, high-dimensional cytometry data}}, url = {{http://dx.doi.org/10.1093/bioadv/vbad103}}, doi = {{10.1093/bioadv/vbad103}}, volume = {{3}}, year = {{2023}}, }