Plate II.1
Single-cell and spatial atlases
- Mapping cells through time and space with moscot2025
- anndata: Access and store annotated data matrices2024
- Best practices for single-cell analysis across modalities2023
- Benchmarking atlas-level data integration in single-cell genomics2021
- Mapping single-cell data to reference atlases by transfer learning2021
- Generalizing RNA velocity to transient cell states through dynamical modeling2020
- SCANPY: large-scale single-cell gene expression data analysis2018
Pl. II.1 Placeholder summary about building reference maps of cells and tissues. On the map of publications (Plate II) the 7 works of this theme are drawn large and ringed in the colour of their island, every other work a small ink dot; the key beside it lists them.
7 of 742 works marked · data synced 6 Nov 2026
Placeholder narrative. This paragraph stands in for the description of how the lab builds reference atlases of cells and tissues, and why such maps matter. The theme’s leads write the real text before launch.
Placeholder second paragraph about current directions. People, publications and tools on this page are not written here: they are derived from the theme’s topics.
People4
Publications7
Research area: Spatial, Omics DataMapping cells through time and space with moscot
Research area: Independent Component, Graphanndata: Access and store annotated data matrices
Research area: Spatial, Omics DataBest practices for single-cell analysis across modalities
Research area: Cell Atlas, IntegrationBenchmarking atlas-level data integration in single-cell genomics
Research area: Cell Atlas, IntegrationMapping single-cell data to reference atlases by transfer learning
Research area: Single Cell RNA, Gene ExpressionGeneralizing RNA velocity to transient cell states through dynamical modeling
Research area: Single Cell RNA, Gene ExpressionSCANPY: large-scale single-cell gene expression data analysis
Software14
scVelo
RNA velocity generalized through dynamical modeling.
515v0.3.49 mo agoPython
scib
Benchmarking analysis of data integration tools.
436v1.2.16 mo agoPython
scArches
Reference mapping for single-cell genomics.
414v0.5.13 y agoJupyter Notebook
Scanpy
Single-cell analysis in Python. Scales to >100M cells.
2.6K1.12.58 d agoPython
Single-cell best practices
https://www.sc-best-practices.org
1.3K0.2.08 d agoJupyter Notebook
anndata
Annotated data.
7830.13.449 d agoPython
moscot
Multi-omic single-cell optimal transport tools.
219v0.5.22 mo agoPython
zellkonverter
Conversion between scRNA-seq objects
209v1.22.06 mo agoR
scCODA
A Bayesian model for compositional single-cell data analysis
205v0.1.94 y agoJupyter Notebook
chemCPA
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
162Jupyter Notebook
anndata2ri
Convert between AnnData and SingleCellExperiment
154v2.0.14 mo agoPython
DRVI
Unsupervised Deep Disentangled Representation of Single-Cell Omics
83v0.2.823 d agoPython
scib-reproducibility
Additional code and analysis from the single-cell integration benchmarking project
76Jupyter Notebook
trVAE
Conditional out-of-distribution prediction
63v1.1.26 y agoPython