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Add tutorials covering SpatialData, SnapATAC2, pertpy, LIANA+, scirpy BCR and decoupler (#298)
* Add tutorials covering SpatialData, SnapATAC2, pertpy, LIANA+, scirpy BCR and decoupler Three core packages had no presence on /learn at all: SpatialData, SnapATAC2 and pertpy. This adds an entry point for each, plus tutorials that fill gaps inside packages that were already listed. Adds a Cell-cell communication category, which had no coverage, and fills the Multimodal category, which was defined but empty and therefore never rendered. * Shorten descriptions so they are not clipped on the cards
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tutorial-registry/categories.yml

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description: |
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Tutorials for analyzing single-cell B-cell and T-cell receptor sequencing data
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- Cell-cell communication:
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description: |
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Infer and analyse interactions between cells
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- Surface proteins:
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description: |
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CITE-seq analyses

tutorial-registry/schema.json

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"scRNA-seq",
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"Spatial",
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"Adaptive immune cell receptor",
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"Cell-cell communication",
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"Surface proteins",
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"ATAC-seq",
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"Multimodal",
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name: Single-cell enrichment analysis
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description: |
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Score transcription factor and pathway activities per cell, then compare them across cell types.
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link: https://decoupler.readthedocs.io/en/latest/notebooks/scell/rna_sc.html
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image: icon.png
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primary_category: scRNA-seq
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order: 25
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modality:
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- RNA
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tags:
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- functional analysis
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- visualization
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packages:
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- decoupler
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- scanpy
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- anndata
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authors:
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- PauBadiaM
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name: Cell-cell communication with LIANA+
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description: |
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Infer ligand-receptor interactions between cell types and aggregate the methods into a consensus ranking.
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link: https://liana-py.readthedocs.io/en/latest/notebooks/basic_usage.html
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image: icon.png
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primary_category: Cell-cell communication
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order: 10
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modality:
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- RNA
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tags:
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- functional analysis
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- visualization
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packages:
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- liana
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- scanpy
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- anndata
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authors:
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- dbdimitrov
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name: Perturbation efficacy in pooled CRISPR screens
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description: |
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Find which cells in a pooled CRISPR screen were effectively perturbed, with Mixscape and Mixscale.
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link: https://pertpy.readthedocs.io/en/latest/tutorials/notebooks/perturbation_efficacy.html
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image: icon.svg
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primary_category: scRNA-seq
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order: 110
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modality:
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- RNA
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tags:
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- perturbation
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- quality control
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- visualization
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packages:
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- pertpy
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- scanpy
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- anndata
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authors:
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- Zethson
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name: Quantifying perturbation effects with distances
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description: |
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Measure how strongly a perturbation shifts cells with point-cloud distance metrics and permutation tests.
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link: https://pertpy.readthedocs.io/en/latest/tutorials/notebooks/distances.html
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image: icon.svg
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primary_category: scRNA-seq
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order: 90
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modality:
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- RNA
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tags:
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- perturbation
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- visualization
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packages:
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- pertpy
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- scanpy
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- anndata
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authors:
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- stefanpeidli
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- Lilly-May
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- Zethson

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