A guide to using a Seurat object in conjunction with RNA Velocity
Drop-in Rust + PyO3 acceleration of scvelo for single-cell RNA velocity
This repository contains single cell analysis pipelines.
Analysis of a .loom file containing single-cell RNA-sequencing data. Clustering & UMAP embedding using Scanpy, followed by RNA velocity analysis using scVelo.
RNA velocity is a high-dimensional vector that predicts the future state of individual cells on a timescale of hours.
Repository of the master project in Bioinformatics at Lund University
collab | DFC
Socs3/Spp1 Project on Microglia in OIR | Ye Sun Lab Collaboration Project | Boston Children's Hospital
IGFBPL1 Retinal Microglia Project | Dong Feng Chen Lab collaboration | Schepens Eye Research Institute, Mass General Hospital, Harvard Medical School
End-to-end single-cell RNA-seq analyses on public datasets — 10 reproducible projects in Scanpy & Seurat covering integration, trajectory inference, cell-cell communication, and method benchmarks.
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