dittoSeq
RNA analysis toolkit
A suite of functions for analyzing and visualizing RNA sequencing data
Color blindness friendly visualization of single-cell and bulk RNA-sequencing data
191 stars
5 watching
18 forks
Language: R
last commit: 5 months ago
Linked from 1 awesome list
color-blindcolor-blindnessrna-seqsingle-cellsingle-cell-rna-seqvisualization
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kharchenkolab/numbat | Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 171 |
 rabadanlab/sctda | An object-oriented Python library for analyzing single-cell RNA-seq data using topological representations | 7 |
 edepasquale/doubletdecon | Deconvolutes single-cell RNA-seq data from potential doublets to remove contamination | 69 |
 rglab/mast | Provides tools and methods for analyzing single-cell RNA sequencing data using statistical models | 228 |
 snakemake-workflows/single-cell-rna-seq | A workflow generator for single-cell RNA-seq data analysis | 100 |
 vibscc/dali | Tool for integrated analysis of single-cell RNAseq data and immune receptor profiling data | 20 |
 yuifu/millefy | Visualizes read coverage of single-cell RNA-seq datasets in genomic contexts to highlight cell-to-cell heterogeneity | 28 |
 yoseflab/fastproject | Provides tools and methods for visualizing and analyzing single cell RNA-seq data in low dimensions | 35 |
 drisso/bioc2016singlecell | Analyzing single-cell RNA-seq data using R and Bioconductor tools | 76 |
 crazyhottommy/rna-seq-analysis | A collection of resources and tools for analyzing RNA sequencing data using Python and Snakemake workflows | 951 |
 cellgeni/scrna.seq.course | An educational resource teaching computational analysis of single-cell RNA-seq data using R and Bioconductor tools | 125 |
 hms-dbmi/scde | Provides statistical methods for analyzing single-cell RNA-seq data, focusing on error modeling and differential expression analysis. | 173 |
 nbisweden/workshop-scrnaseq | An educational resource offering interactive R, Python, and Seurat labs for analyzing single-cell RNA sequencing data. | 199 |
 imb-computational-genomics-lab/ascend | Tools and methods for analyzing single-cell RNA sequencing data, including expression normalization and differential gene expression analysis. | 22 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 219 |