Singularity image files (.sif) for single cell genomic analyses
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Updated
Jul 10, 2020 - Shell
Singularity image files (.sif) for single cell genomic analyses
A data visualization tool for interpreting the effects of reference choice on scRNAseq clustering results.
Detect ALU insertions supported by specific split read pairs.
A R Shiny App for single-cell analysis
Inference of Disease Progressive Level in Single-Cell Data
Papers and Tools that would guide your journey in Computational Biochemistry
Identification of Biomarkers of Alzheimer's from Single cell genome
This repository contains single cell analysis pipelines.
RNA velocity is a high-dimensional vector that predicts the future state of individual cells on a timescale of hours.
Calibrated clustering via knockoffs for single-cell genomics
Single-Cell Data Science
Single Cell RNA-seq Course
Workshop for BioC 2018
SCarborSNV is an efficient algorithm for phylogeny aware genotyping of single cell genomes, using dynamic programming and neighbor joining.
A tool for detecting TE insertions and evaluating the insertion rate (under development).
Single cell Perturbations - Analysis of Differential gene Expression
Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data
A computational approach tool to predict Head and Neck Cancer affected patients from their single cell RNA seq data.
Archived version of the zinbwave package. All future development will be done on https://github.com/drisso/zinbwave
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