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000274055 1001_ $$0P:(DE-2719)9000629$$aKröger, Charlotte$$b0$$eFirst author
000274055 245__ $$aUnveiling the power of high-dimensional cytometry data with cyCONDOR.
000274055 260__ $$a[London]$$bNature Publishing Group UK$$c2024
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000274055 520__ $$aHigh-dimensional cytometry (HDC) is a powerful technology for studying single-cell phenotypes in complex biological systems. Although technological developments and affordability have made HDC broadly available in recent years, technological advances were not coupled with an adequate development of analytical methods that can take full advantage of the complex data generated. While several analytical platforms and bioinformatics tools have become available for the analysis of HDC data, these are either web-hosted with limited scalability or designed for expert computational biologists, making their use unapproachable for wet lab scientists. Additionally, end-to-end HDC data analysis is further hampered due to missing unified analytical ecosystems, requiring researchers to navigate multiple platforms and software packages to complete the analysis. To bridge this data analysis gap in HDC we develop cyCONDOR, an easy-to-use computational framework covering not only all essential steps of cytometry data analysis but also including an array of downstream functions and tools to expand the biological interpretation of the data. The comprehensive suite of features of cyCONDOR, including guided pre-processing, clustering, dimensionality reduction, and machine learning algorithms, facilitates the seamless integration of cyCONDOR into clinically relevant settings, where scalability and disease classification are paramount for the widespread adoption of HDC in clinical practice. Additionally, the advanced analytical features of cyCONDOR, such as pseudotime analysis and batch integration, provide researchers with the tools to extract deeper insights from their data. We use cyCONDOR on a variety of data from different tissues and technologies demonstrating its versatility to assist the analysis of high-dimensional data from preprocessing to biological interpretation.
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000274055 650_2 $$2MeSH$$aSoftware
000274055 650_2 $$2MeSH$$aFlow Cytometry: methods
000274055 650_2 $$2MeSH$$aComputational Biology: methods
000274055 650_2 $$2MeSH$$aHumans
000274055 650_2 $$2MeSH$$aSingle-Cell Analysis: methods
000274055 650_2 $$2MeSH$$aAlgorithms
000274055 650_2 $$2MeSH$$aAnimals
000274055 650_2 $$2MeSH$$aMachine Learning
000274055 650_2 $$2MeSH$$aMice
000274055 650_2 $$2MeSH$$aCluster Analysis
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000274055 7001_ $$0P:(DE-2719)9001774$$aMüller, Sophie$$b1$$eFirst author
000274055 7001_ $$0P:(DE-2719)9002691$$aLeidner, Jacqueline$$b2$$eFirst author$$udzne
000274055 7001_ $$0P:(DE-2719)9002692$$aKroeber, Theresa$$b3$$udzne
000274055 7001_ $$0P:(DE-2719)9001511$$aWarnat-Herresthal, Stefanie$$b4$$udzne
000274055 7001_ $$0P:(DE-2719)9001907$$aSpintge, Jannis Bastian$$b5$$udzne
000274055 7001_ $$0P:(DE-HGF)0$$aZajac, Timo$$b6
000274055 7001_ $$0P:(DE-2719)9002624$$aNeubauer, Anna$$b7$$udzne
000274055 7001_ $$0P:(DE-2719)9002087$$aFrolov, Aleksej$$b8$$udzne
000274055 7001_ $$0P:(DE-2719)9001303$$aCarraro, Caterina$$b9$$udzne
000274055 7001_ $$aGroup, DELCODE Study$$b10$$eCollaboration Author
000274055 7001_ $$0P:(DE-2719)2000032$$aJessen, Frank$$b11$$udzne
000274055 7001_ $$00000-0003-4007-4365$$aPuccio, Simone$$b12
000274055 7001_ $$0P:(DE-2719)2812913$$aAschenbrenner, Anna C$$b13
000274055 7001_ $$0P:(DE-2719)2811660$$aSchultze, Joachim L$$b14
000274055 7001_ $$0P:(DE-2719)9002574$$aPecht, Tal$$b15
000274055 7001_ $$0P:(DE-2719)2812219$$aBeyer, Marc D$$b16
000274055 7001_ $$0P:(DE-2719)9001512$$aBonaguro, Lorenzo$$b17$$eLast author
000274055 7001_ $$0P:(DE-2719)2812392$$aFreiesleben, Silka Dawn$$b18$$eContributor$$udzne
000274055 7001_ $$0P:(DE-2719)2811720$$aAltenstein, Slawek$$b19$$eContributor$$udzne
000274055 7001_ $$0P:(DE-2719)9001808$$aRauchmann, Boris Stephan$$b20$$eContributor$$udzne
000274055 7001_ $$0P:(DE-2719)2810394$$aKilimann, Ingo$$b21$$eContributor$$udzne
000274055 7001_ $$aCoenjaerts, Marie$$b22$$eContributor
000274055 7001_ $$0P:(DE-2719)2811324$$aSpottke, Annika$$b23$$eContributor$$udzne
000274055 7001_ $$0P:(DE-2719)2811024$$aPeters, Oliver$$b24$$eContributor$$udzne
000274055 7001_ $$0P:(DE-2719)2811122$$aPriller, Josef$$b25$$eContributor$$udzne
000274055 7001_ $$0P:(DE-2719)2812234$$aPerneczky, Robert$$b26$$eContributor$$udzne
000274055 7001_ $$0P:(DE-2719)2000026$$aTeipel, Stefan$$b27$$eContributor$$udzne
000274055 7001_ $$0P:(DE-2719)2000005$$aDüzel, Emrah$$b28$$eContributor$$udzne
000274055 773__ $$0PERI:(DE-600)2553671-0$$a10.1038/s41467-024-55179-w$$gVol. 15, no. 1, p. 10702$$n1$$p10702$$tNature Communications$$v15$$x2041-1723$$y2024
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