nf-core / scflowLinks
Please consider using/contributing to https://github.com/nf-core/scdownstream
☆25Updated last year
Alternatives and similar repositories for scflow
Users that are interested in scflow are comparing it to the libraries listed below
Sorting:
- Using BCR and expression for sequence embedding☆24Updated this week
- COSMOS (Causal Oriented Search of Multi-Omic Space) is a method that integrates phosphoproteomics, transcriptomics, and metabolomics data…☆62Updated 3 weeks ago
- Single-cell/nuclei RNA-seq analysis tools in R for a complete workflow.☆56Updated last year
- This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL☆56Updated 2 years ago
- CellR: single-cell RNA-Seq guided deconvolution of cellular composition from bulk-tissue RNA-Seq☆18Updated 4 years ago
- Bulk-Sequence Single-Cell Gene Expression Deconvolution Pipeline☆45Updated 2 years ago
- Workflow for the Association of T-cell receptors from 3' single-cell RNA-seq (WAT3R)☆21Updated 2 years ago
- Inference of TCR motifs☆32Updated last month
- UniverSC: a flexible cross-platform single-cell data processing pipeline☆46Updated last year
- A Snakemake pipeline for cellranger to process 10x single-cell RNAseq data☆16Updated 5 years ago
- ⚙️ Matching T-cell repertoire against a database of TCR antigen specificities☆38Updated 6 years ago
- ☆22Updated 5 years ago
- ☆44Updated 9 months ago
- Easy and comprehensive biological network reconstruction and analysis☆31Updated 10 months ago
- epigenome analysis to rank transcription factors☆30Updated 2 years ago
- ☆60Updated 4 years ago
- ☆34Updated 6 years ago
- BraCeR - reconstruction of B cell receptor sequences from single-cell RNAseq data☆42Updated 11 months ago
- Signac☆25Updated 2 years ago
- CAusal Reasoning for Network Identification with integer VALue programming in R☆59Updated last year
- Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.☆84Updated 2 years ago
- scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics☆53Updated 11 months ago
- ☆35Updated 4 months ago
- scWGCNA☆61Updated 2 years ago
- ☆47Updated 6 months ago
- ☆29Updated 2 years ago
- Immune Cell Gene Signatures for Profiling the Microenvironment of Solid Tumours☆27Updated 4 years ago
- Inferring gene co-expression networks from single cell gene expression data☆26Updated 2 years ago
- Explore and download data from the recount3 project☆35Updated 2 months ago
- Discover differential transcript usage from polyA-captured single cell RNA-seq data☆51Updated 2 years ago