SeuratWizard
Single-cell analyzer
A web-based interactive application for guided single-cell RNA-seq data analysis and clustering using Seurat.
This is a web-based interactive (wizard style) application to perform a guided single-cell RNA-seq data analysis and clustering based on Seurat.
13 stars
7 watching
6 forks
Language: R
last commit: almost 7 years agoLinked from 1 awesome list
rseuratshinyshiny-appssingle-cellsingle-cell-analysissingle-cell-genomicssingle-cell-rna-seqwebapplication
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
| nasqar/seuratv3wizard | An R-based web application for guided single-cell RNA-seq data analysis and clustering | 33 |
 scrna-seq/tasc | A toolkit for analyzing single-cell RNA sequencing data using computational methods and algorithms | 2 |
 kirstlab/asc_seurat | An R-based web application for scRNA-seq analysis that provides a user-friendly interface for data preprocessing, visualization, and annotation. | 23 |
 snakemake-workflows/single-cell-rna-seq | A workflow generator for single-cell RNA-seq data analysis | 100 |
 rabadanlab/sctda | An object-oriented Python library for analyzing single-cell RNA-seq data using topological representations | 7 |
 kharchenkolab/numbat | Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 171 |
 iosonofabio/singlet | Analyzes single cell RNA sequence data with quantitative phenotypes | 13 |
 nbisweden/excelerate-scrnaseq | An open-source R package providing tools and methods for analyzing single cell RNA-seq data | 217 |
 catavallejos/basics | An integrated Bayesian hierarchical model to analyze single-cell sequencing data | 84 |
 xmc811/scillus | A package for processing and visualizing single-cell RNA-seq data in R, providing an efficient and customizable framework for analyzing complex biological datasets. | 60 |
 yjzhang/uncurl_python | Analyzes single-cell RNA-seq data using statistical models and machine learning algorithms | 15 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |
 hms-dbmi/scde | Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
 immcore/is-cellr | A web-based Shiny application for analyzing single-cell RNA sequencing data | 23 |
| kharchenkolab/dropest | A software pipeline for analyzing single-cell RNA-seq data from droplet-based experiments | 88 |