Orchestrating Spatial Transcriptomics Analysis with Bioconductor

Endothelial type I interferon signaling modulates the vascular response to ischemic brain injury

Kavli Affiliate: Keri Martinowich

| Authors: Helena L Crowell, Yixing Dong, Ilaria Billato, Peiying Cai, Martin Emons, Samuel Gunz, Boyi Guo, Mengbo Li, Alexandru Mahmoud, Artür Manukyan, Hervé Pagès, Pratibha Panwar, Shreya Rao, Callum J Sargeant, Lori Shepherd Kern, Marcel Ramos, Jieran Sun, Michael Totty, Vincent J Carey, Yunshun Chen, Leonardo Collado-Torres, Shila Ghazanfar, Kasper D Hansen, Keri Martinowich, Kristen R Maynard, Ellis Patrick, Dario Righelli, Davide Risso, Simone Tiberi, Levi Waldron, Raphael Gottardo, Mark D Robinson, Stephanie C Hicks and Lukas M Weber

| Summary:

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.

Read More