Xenomake: a pipeline for processing and sorting xenograft reads from spatial transcriptomic experiments

Abstract excerpt

Xenograft models are attractive models that mimic human tumor biology and permit one to perturb the tumor microenvironment and study its drug response. Spatially resolved transcriptomics (SRT) provide a powerful way to study the organization of xenograft models, but currently there is a lack of specialized pipeline for processing xenograft reads originated from SRT experiments. Xenomake is a standalone pipeline fo...

Topics

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• Antigen Presentation
• Clone Cells
• Deep Learning
• Gene Expression Profiling
• Phenotype
• Single-cell and spatial transcriptomics
• Technology
• Transcriptome

Identifiers and source

Literature Corpus work

2fdf0ad5-1e21-596a-9081-0d09a92509d0

DOI

10.1101/2023.09.04.556109