lhqing / mouse_brain_2020
Jupyter notebook repository for reproducing analysis in "DNA Methylation Landscape of the Mouse Brain at Single-Cell Resolution"
☆13Updated 5 years ago
Alternatives and similar repositories for mouse_brain_2020:
Users that are interested in mouse_brain_2020 are comparing it to the libraries listed below
- Reconstruction of higher order chromatin from scRNA-seq and scATAC-seq☆14Updated 3 weeks ago
- Mitochondrial Alteration Enrichment and Genome Analysis Toolkit☆19Updated last year
- ☆49Updated 9 months ago
- Methods to use SNPs or gene expression to classify single cell RNAseq to reference profiles☆29Updated 5 years ago
- Code to reproduce analyses in Nasser, Bergman, Fulco, Guckelberger, Doughty et al Nature 2021☆15Updated 4 years ago
- epigenome analysis to rank transcription factors☆13Updated 5 years ago
- Fast motif matching in R☆47Updated last year
- Analytical tools and pipelines for bulk and single cell epigenomic and human genetic data☆26Updated 4 years ago
- ☆30Updated 3 months ago
- scripts for the integrating ATAC-seq, RNA-seq and CHi-C paper☆24Updated 2 years ago
- ☆29Updated 6 years ago
- Immune Cell Gene Signatures for Profiling the Microenvironment of Solid Tumours☆27Updated 4 years ago
- scWGCNA☆59Updated 2 years ago
- ☆17Updated 4 years ago
- Reproducing all analyses and figures for the ASAP-seq paper☆29Updated 3 years ago
- Detecting cancer subtypes with machine learning.☆10Updated 5 years ago
- scTyper: a comprehensive pipeline for the cell typing analysis of single-cell RNA-seq data☆29Updated 2 years ago
- Snakemake pipeline for plate scATAC-seq processing☆26Updated last year
- Downstream analysis script for sci-fate (TF-gene linkage analysis / cell linkage analysis)☆24Updated 5 years ago
- TF analysis from epigenetic and Hi-C data☆17Updated last month
- Analysis cell-type-specific functional gene network, with SCINET and HumanNetv3☆42Updated last year
- Code accompanying Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes☆43Updated 4 years ago
- A study to compare methods for clustering of scRNA-seq data☆43Updated 9 months ago
- Matrix factorization model for interpreting single cell gene expression in biologically heterogeneous data☆21Updated last year
- Negative binomial regression for Spatial Transcriptomics data as described in Maaskola et al. 2018☆22Updated 6 years ago
- Data analysis scripts for Datlinger et. al, 2017 (doi:10.1038/nmeth.4177)☆30Updated 7 years ago
- Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.☆16Updated 3 years ago
- ☆25Updated last year
- A comprehensive tool for processing, analyzing and visulizing single cell chromatin accessibility sequencing data☆24Updated 7 months ago
- QBRC Neoantigen calling pipeline with CSiN calculation embedded☆24Updated 3 years ago