Discover how researchers are tackling one of spatial transcriptomics’ biggest computational challenges: multi-slice data alignment and integration.

Spatial transcriptomics (ST) enables researchers to map gene expression within the native architecture of tissues, providing unprecedented insight into cellular context, tissue organization, and microenvironment dynamics. As the field continues to expand, so do the analytical challenges. Integrating data across multiple tissue slices, managing spatial variability, reconstructing 3D structures, and maintaining resolution without adding noise are major pain points researchers face in ST analysis. This comprehensive review by Khan et al. surveys 24 tools built to solve these complex problems.

In this review, you’ll find:

  • A clear definition of the alignment and integration problem

  • An overview of the main computational challenges and biological stakes

  • A proposed general pipeline for multi-slice ST analysis

  • A detailed review of 24 tools currently available including statistical, image-based, and graph-based methods

  • Practical criteria and insights for tool selection, study design, and downstream applications

Whether you’re working directly with spatial data or exploring its future potential, this paper offers a valuable snapshot of the current landscape — and where it’s headed.

About Advaita Bioinformatics

Advaita Bioinformatics develops bioinformatics tools that integrate multi-omic data using a systems biology approach. Our proprietary computational method, Impact Analysis, goes beyond traditional enrichment methods by leveraging the type, function, position, and interactions of genes within pathways. Our software helps principal investigators, core facilities, and enterprise bioinformatics teams analyze gene expression data (e.g., RNA-Seq or microarray) and variant data (e.g., DNA-Seq) to discover biomarkers, identify impacted pathways, uncover underlying mechanisms, and more.

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If you want to apply the impact analysis to analyze your data or simply do a side-by-side comparison yourself, you can. The impact analysis is available as part of iPathwayGuide™. Create a free account here and analyze several free datasets available in your account.