Ecosystem#
Warning
We are no longer accepting new tools on this page. Instead, please submit your tool to the scverse ecosystem package listing.
Viewers#
Interactive manifold viewers.
cellxgene via direct reading of
.h5ad
CZIcirrocumulus via direct reading of
.h5ad
Broad Inst.cell browser via exporing through
cellbrowser()
UCSCSPRING via exporting through
spring_project()
Harvard Medvitessce for purely browser based viewing of zarr formatted AnnData files Harvard Med
Portals#
the Gene Expression Analysis Resource U Maryland
the Galaxy Project for the Human Cell Atlas [tweet] U Freiburg
the Expression Atlas EMBL-EBI
Modalities#
RNA velocity#
scVelo Helmholtz Munich
Spatial Transcriptomics Tools#
squidpy Helmholtz Munich
Squidpy is a comprehensive toolkit for working with spatial single cell omics data.
PASTE Princeton
PASTE is a computational method to align and integrate spatial transcriptomics data across adjacent tissue slices by leveraging both gene expression similarity and spatial distances between spots.
bento 🍱 UC San Diego
Bento is an accessible Python toolkit for performing subcellular analysis of spatial transcriptomics data.
Multimodal integration#
Adaptive immune receptor repertoire (AIRR)#
scirpy Medical University of Innsbruck
scirpy is a scanpy extension to expore single-cell T-cell receptor (TCR) and B-cell receptor (BCR) repertoires.
dandelion University of Cambridge
dandelion is a single-cell BCR-seq network analysis package that integrates with transcriptomic data analyzed via scanpy.
Long reads#
Swan UC Irvine
Swan is a Python library designed for the analysis and visualization of transcriptomes, especially with long-read transcriptomes in mind. Users can add transcriptomes from different datasets and explore distinct splicing and expression patterns across datasets.
Analysis methods#
scvi-tools#
scvi-tools Berkeley
scvi-tools hosts deep generative models (DGM) for end-to-end analysis of single-cell omics data (e.g., scVI, scANVI, totalVI). It also contains several primitives to build novel DGMs.
Fate mapping#
CellRank Helmholtz Munich
CellRank is a framework to uncover cellular dynamics based on single-cell data. It incorporates modalities such as RNA velocity, pseudotime, developmental potential, real-time information, etc.
Differential expression#
diffxpy Helmholtz Munich
Data integration#
scanaroma MIT
Modeling perturbations#
Feature selection#
triku 🦔 Biodonostia Health Research Institute
CIARA Helmholtz Munich
CIARA is an algorithm for feature selection, that aims for the identification of rare cell types via scRNA-Seq data in scanpy.
Annotation/ Enrichment Analysis#
Analyses using curated prior knowledge
decoupler is a collection of footprint enrichment methods that allows to infer transcription factor or pathway activities. Institute for Computational Biomedicine, Heidelberg University
Cubé Harvard University
Intuitive Nonparametric Gene Network Search Algorithm that learns from existing biological pathways & multiplicative gene interference patterns.