YiPeng-Gao / scDaParsLinks
Dynamic Analysis of Alternative Polyadenylation from single-cell RNA-seq (scDaPars)
☆17Updated 4 years ago
Alternatives and similar repositories for scDaPars
Users that are interested in scDaPars are comparing it to the libraries listed below
Sorting:
- ☆51Updated last year
- Code and data from Koche et al. Extrachromosomal circular DNA drives oncogenic genome remodeling in neuroblastoma (2020)☆15Updated 5 years ago
- Snakemake pipeline for plate scATAC-seq processing☆26Updated last year
- Uncertainty-aware quantification of Transposable Elements expression in scRNA-seq☆20Updated 2 weeks ago
- ☆39Updated 2 months ago
- A Deep Learning-Based Model for Quantifying Transposable Elements in Single-Cell Sequencing Data☆31Updated last week
- Epigenetic cell-type deconvolution from Single-Cell Omic Reference profiles☆32Updated 7 months ago
- ☆18Updated 5 years ago
- single-cell-Isoform-Sequencing-Analysis-Tools: New and powerful tools brings single-cell RNA sequencing to the Isoform level and single m…☆26Updated last year
- ☆24Updated 3 weeks ago
- Scripts used for the ACT paper☆12Updated 4 years ago
- https://molecular-neurogenetics.github.io/truster/☆11Updated 4 months ago
- ☆29Updated 4 years ago
- scripts for the integrating ATAC-seq, RNA-seq and CHi-C paper☆25Updated 2 years ago
- Code to calculate the Splicing Z Score (SpliZ) for single cell RNA-seq splicing analysis☆35Updated 3 years ago
- MAnorm2 for Normalizing and Comparing ChIP-seq Samples☆32Updated 3 years ago
- Analysis pipeline for our circSC manuscript☆14Updated 3 years ago
- Code accompanying Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes☆44Updated 4 years ago
- Bead-based single-cell atac processing☆33Updated 4 years ago
- This is a package and a shell script for alternative polyadenylation (APA) analysis of 3' tag single-cell RNA-seq data.☆23Updated 3 years ago
- Analyze 3'UTR usage in single-cell data.☆15Updated 4 years ago
- ☆26Updated 2 years ago
- A method which leverages scRNA-seq data to achieve two goals: (1) to infer the cell types in which the disease-associated genes manifest …☆26Updated 3 years ago
- Systematic analyses of intronic polyadenylation from standard RNAseq data☆13Updated last year
- An R package to time somatic mutations☆64Updated 4 years ago
- scTyper: a comprehensive pipeline for the cell typing analysis of single-cell RNA-seq data☆31Updated 2 years ago
- Code repo for all analysis done for the 'Pan-cancer whole genome comparison of primary and metastatic solid tumors' study.☆18Updated 2 years ago
- ☆18Updated 2 years ago
- ☆47Updated 10 months ago
- ☆12Updated 6 years ago