ImmunoCluster provides a computational framework for the nonspecialist to profile high-dimensional c...
ImmunoCluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data
About this item
Full title
Author / Creator
Opzoomer, James W , Timms, Jessica A , Blighe, Kevin , Mourikis, Thanos P , Chapuis, Nicolas , Bekoe, Richard , Kareemaghay, Sedigeh , Nocerino, Paola , Apollonio, Benedetta , Ramsay, Alan G , Tavassoli, Mahvash , Harrison, Claire , Ciccarelli, Francesca , Parker, Peter , Fontenay, Michaela , Barber, Paul R , Arnold, James N and Kordasti, Shahram
Publisher
England: eLife Sciences Publications Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: eLife Sciences Publications Ltd
Subjects
More information
Scope and Contents
Contents
High-dimensional cytometry is an innovative tool for immune monitoring in health and disease, and it has provided novel insight into the underlying biology as well as biomarkers for a variety of diseases. However, the analysis of large multiparametric datasets usually requires specialist computational knowledge. Here, we describe
ImmunoCluster
(
https://github.com/kordastilab/ImmunoCluster
), an R package for immune profiling cellular heterogeneity in high-dimensional liquid and imaging mass cytometry, and flow cytometry data, designed to facilitate computational analysis by a nonspecialist. The analysis framework implemented within
ImmunoCluster
is readily scalable to millions of cells and provides a variety of visuali...
Alternative Titles
Full title
ImmunoCluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data
Authors, Artists and Contributors
Author / Creator
Timms, Jessica A
Blighe, Kevin
Mourikis, Thanos P
Chapuis, Nicolas
Bekoe, Richard
Kareemaghay, Sedigeh
Nocerino, Paola
Apollonio, Benedetta
Ramsay, Alan G
Tavassoli, Mahvash
Harrison, Claire
Ciccarelli, Francesca
Parker, Peter
Fontenay, Michaela
Barber, Paul R
Arnold, James N
Kordasti, Shahram
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_78033dd608be40de9a83b21d8e652c8c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_78033dd608be40de9a83b21d8e652c8c
Other Identifiers
ISSN
2050-084X
E-ISSN
2050-084X
DOI
10.7554/eLife.62915
