Giotto: a toolbox for integrative analysis and visualization of spatial expression data

Spatial transcriptomic and proteomic technologies have provided new opportunities to investigate cells in their native microenvironment. Here we present Giotto, a comprehensive and open-source toolbox for spatial data analysis and visualization. The analysis module provides end-to-end analysis by im...

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Veröffentlicht in:	Genome Biology Jg. 22; H. 1; S. 78
Hauptverfasser:	Dries, Ruben, Zhu, Qian, Dong, Rui, Eng, Chee-Huat Linus, Li, Huipeng, Liu, Kan, Fu, Yuntian, Zhao, Tianxiao, Sarkar, Arpan, Bao, Feng, George, Rani E., Pierson, Nico, Cai, Long, Yuan, Guo-Cheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 08.03.2021 Springer Nature B.V BMC
Schlagworte:	Algorithms Animal Genetics and Genomics Bioinformatics Biomedical and Life Sciences Clustering Computational Biology - methods Data Analysis data collection Datasets Evolutionary Biology Gene expression Gene Expression Profiling - methods genome Human Genetics Image Processing, Computer-Assisted Immunohistochemistry - methods In Situ Hybridization - methods Life Sciences Method Microbial Genetics and Genomics Microenvironments Organ Specificity - genetics Pancreas Plant Genetics and Genomics Proteomics Small intestine Software Spatial Analysis spatial data Transcriptome Transcriptomics Visualization
ISSN:	1474-760X, 1474-7596, 1474-760X
Online-Zugang:	Volltext
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