spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data

Background Spatially-resolved transcriptomics has now enabled the quantification of high-throughput and transcriptome-wide gene expression in intact tissue while also retaining the spatial coordinates. Incorporating the precise spatial mapping of gene activity advances our understanding of intact ti...

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Veröffentlicht in:	BMC genomics Jg. 23; H. 1; S. 434 - 5
Hauptverfasser:	Pardo, Brenda, Spangler, Abby, Weber, Lukas M., Page, Stephanie C., Hicks, Stephanie C., Jaffe, Andrew E., Martinowich, Keri, Maynard, Kristen R., Collado-Torres, Leonardo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 10.06.2022 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	10x Genomics Visium Analysis Animal Genetics and Genomics Applications programs Biological activity Biomedical and Life Sciences Brain Cell cycle Clustering Data analysis Ecosystem Gene expression Gene mapping Genomes Genomics Geospatial data Health aspects Interactive visualization Life Sciences Methods Microarrays Microbial Genetics and Genomics Open source software Plant Genetics and Genomics Proteomics R (Programming language) Software Spatial data Spatially-resolved transcriptomics Transcriptome Transcriptomes Transcriptomic methods Transcriptomics Visualization Visualization (Computers) Websites United States Spatially-resolved transcriptomics Interactive visualization 10x Genomics Visium
ISSN:	1471-2164, 1471-2164
Online-Zugang:	Volltext
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