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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Bibliographic Details
Published in:	BMC genomics Vol. 23; no. 1; pp. 434 - 5
Main Authors:	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
Language:	English
Published:	London BioMed Central 10.06.2022 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	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 Access:	Get full text
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