Evidence map›Paper›PMID 37600847›Full record

ArticleBioinformatics advances2023

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

Ludvig Ekdahl, Antton Lamarca Arrizabalaga, Zain Ali, Caterina Cafaro, Aitzkoa Lopez de Lapuente Portilla, Björn Nilsson

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 73% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Ludvig EkdahlLund Stem Cell Center, Lund University, Lund 221 84, Sweden.ORCID https://orcid.org/0000-0002-4257-7284
Antton Lamarca ArrizabalagaLund Stem Cell Center, Lund University, Lund 221 84, Sweden.
Zain AliLund Stem Cell Center, Lund University, Lund 221 84, Sweden.
Caterina CafaroLund Stem Cell Center, Lund University, Lund 221 84, Sweden.
Aitzkoa Lopez de Lapuente PortillaLund Stem Cell Center, Lund University, Lund 221 84, Sweden.
Björn NilssonLund Stem Cell Center, Lund University, Lund 221 84, Sweden.
Lund University · SEBroad Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. Availability and implementation: Source code and documentation at https://github.com/LudvigEk/aligater and https://aligater.readthedocs.io.

Identifiers

PMID37600847
PMCPMC10438955
OpenAlexW4385577990

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.