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spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data.
Pardo, Brenda; Spangler, Abby; Weber, Lukas M; Page, Stephanie C; Hicks, Stephanie C; Jaffe, Andrew E; Martinowich, Keri; Maynard, Kristen R; Collado-Torres, Leonardo.
Affiliation
  • Pardo B; Licenciatura de Ciencias Genómicas, Escuela Nacional de Estudios Superiores Unidad Juriquilla, Universidad Nacional Autónoma de México, Querétaro, 76230, Mexico.
  • Spangler A; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, 21205, Maryland, USA.
  • Weber LM; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, 21205, Maryland, USA.
  • Page SC; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, 21205, Maryland, USA.
  • Hicks SC; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, 21205, Maryland, USA.
  • Jaffe AE; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, 21205, Maryland, USA.
  • Martinowich K; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, 21205, Maryland, USA.
  • Maynard KR; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, 21205, Maryland, USA.
  • Collado-Torres L; Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, 21205, Maryland, USA.
BMC Genomics ; 23(1): 434, 2022 Jun 10.
Article in En | MEDLINE | ID: mdl-35689177
ABSTRACT

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 tissue-specific biological processes. In order to interpret these novel spatial data types, interactive visualization tools are necessary.

RESULTS:

We describe spatialLIBD, an R/Bioconductor package to interactively explore spatially-resolved transcriptomics data generated with the 10x Genomics Visium platform. The package contains functions to interactively access, visualize, and inspect the observed spatial gene expression data and data-driven clusters identified with supervised or unsupervised analyses, either on the user's computer or through a web application.

CONCLUSIONS:

spatialLIBD is available at https//bioconductor.org/packages/spatialLIBD . It is fully compatible with SpatialExperiment and the Bioconductor ecosystem. Its functionality facilitates analyzing and interactively exploring spatially-resolved data from the Visium platform.
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Full text: 1 Database: MEDLINE Main subject: Ecosystem / Transcriptome Language: En Year: 2022 Type: Article

Full text: 1 Database: MEDLINE Main subject: Ecosystem / Transcriptome Language: En Year: 2022 Type: Article