developing-heart-local-improved

Spatial multi-omics cardiac atlases unify RNA expression, spatial context, and multi-omics layers to map developing heart regions across samples. They enable trajectory inference, region-specific gene programs, and cross-modality integration for consistent biological insights.

You start by loading the skill's references into your analysis environment and running the baseline atlas-building workflow. This process helps assemble spatial multi-omics data to construct a comprehensive developing heart atlas and map region-specific lineages.

The skill integrates spatial transcriptomics with single-cell and bulk data specifically for cardiac development studies, supporting trajectory and cell-type annotation workflows across spatially-resolved datasets. This multi-omics approach distinguishes it from general single-cell analysis tools.

The skill requires a YAML frontmatter in the SKILL.md file with name and description fields. It functions within an analysis environment where you can load its references, and it may include optional scripts and assets to support the atlas-building workflows.

Constructing a comprehensive atlas of developing heart regions across samples requires integrating spatial transcriptomics with bulk and single-cell data. This multi-sample approach enables region-specific gene programs, trajectory inference, and consistent lineage mapping.