scone
Data processor
Tools for quality control and normalization of single-cell RNA-seq data
53 stars
36 watching
12 forks
Language: R
last commit: almost 2 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| Provides tools and methods for visualizing and analyzing single cell RNA-seq data in low dimensions | 35 | |
| Algorithmic software for analyzing single-cell RNA sequencing data to reconstruct T cell receptor sequences. | 14 | |
| Tools and utilities for single-cell RNA-seq data analysis with network features | 25 | |
| An object-oriented Python library for analyzing single-cell RNA-seq data using topological representations | 7 | |
| Analyzing single-cell RNA-seq data using R and Bioconductor tools | 76 | |
| An integrated Bayesian hierarchical model to analyze single-cell sequencing data | 84 | |
| Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 | |
| An open-source R package providing tools and methods for analyzing single cell RNA-seq data | 217 | |
| A workflow generator for single-cell RNA-seq data analysis | 100 | |
| An R-based web application for guided single-cell RNA-seq data analysis and clustering | 33 | |
| A software tool for simulating variability in single cell RNA sequencing data by incorporating multiple factors | 24 | |
| An educational workshop on single-cell RNA-seq analysis using the Seurat R package | 0 | |
| Enables bioinformatic analysis of large-scale transcriptomic data by providing on-demand access to computational resources and software tools. | 38 | |
| Provides a comprehensive tutorial and workflow for single-cell RNA-seq analysis | 1,419 | |
| Analyzes single-cell RNA-seq data using statistical models and machine learning algorithms | 15 |