Orchestrating Spatial Transcriptomics Analysis with Bioconductor.

ABSTRACT: Spatial transcriptomics technologies provide spatially-resolved measurements of gene expression through assays that can either target selected genes or capture transcriptome-wide expression profiles. The complexity and variability of these technologies and their associated data necessitate multi-step workflows integrating diverse computational methods and software packages. We provide a freely accessible, open-source, continuously updated and tested online book containing reproducible code examples, datasets, and discussion about data analysis workflows for spatial omics data using Bioconductor in R, including interoperability with Python.

SUBMITTER: Crowell HL 

PROVIDER: S-EPMC12667768 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature