Seurat Collection

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“An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.”

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“Cell type annotation for single-cell RNA-seq using multi-LLM consensus”

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“scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing and spatial data in an easy and efficient way.”

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“R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.”

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“Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data”

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“Generate high quality, publication ready visualizations for single cell transcriptomics data.”

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“Inside Out Positional Tracking (6DoF) for GearVR/Cardboard/Daydream using ARCore v1.6.0”

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“Seurat meets tidyverse. The best of both worlds.”

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“Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.”

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“Cell type annotation with local Large Language Models (LLMs) - Ensuring privacy and speed with extensive customized reports”

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“A guide to using a Seurat object in conjunction with RNA Velocity ”

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“This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data”

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“Bring your single-cell data to life”

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“Various utility functions for Seurat v5 single-cell analysis”