Abstract

Review of: "Belayer: Modeling discrete and continuous spatial variation in gene expression from spatially resolved transcriptomics"

Highlights

  • Cong Ma et al; propose a new strategy for the analysis of spatially-resolved transcriptomes based on piecewise continous function of a single spatial variable, allowing for discontinuities in gene expression levels within the acquired spatial readouts

  • Its capacity to perform on high resolution data like those generated by the methodology Slide-seq; or for instance in cases in which the tissue of interest could provide a large complexity. In this context I could suggest to challenge Belayer on the analysis of the whole mouse embryo data generated with the technology DBiT-seq (Yang Liu et al; Cell 2020), which has been recently analysed with our own tool MULTILAYER ( Moehlin et al; Cell Systems 2021)

  • A related question to this type of analysis is the computing requirements for using Belayer, notably in the context of large and/or complex spatially-resolved transcriptome maps

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Summary

Introduction

Review of: "Belayer: Modeling discrete and continuous spatial variation in gene expression from spatially resolved transcriptomics" 1 Genoscope - Centre National de Séquençage

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