bioinfoDZ

RISC

A R package for integrated scRNA-seq data analysis using the RPCI algorithm

panCAF

Codes for analyzing heterogeneity of cancer-associated fibroblasts in multiple cancers

scDAPP

A end-to-end scRNA-seq analysis pipeline for cross-group comparison

HSMotifDiscover

The HS sequences are diffrent from DNA, RNA and protein sequences in a few ways. So, the Gibbs-Sampling algorithm has been implemented in such a way, it can discover motifs in the heparan sulphate (HS) sequences.

Stereo3D

Visualization in three-dimensional (3D) space is a standard and critical process for examining the complex structure of high dimensional data. Stereo imaging technology can be adopted to enhance 3D representation of any complex data, especially those consisting mostly of points and lines. We illustrate the simple steps that are involved and strongly encourage others to implement it in their own visualization software. To facilitate its application, we have also created a new software that can convert a regular 3D scatterplot or network figure to a stereo image

ASDCCC

Scripts for Cell-Cell Communication Analysis

OS_TKODKObulk

22q11wgs

Scripts for analysis of 22q11.2 whole genome sequencing data

GBMCAF

Codes for identifying and characterizing CAFs in gliomas

HSMotifDiscover_ShinyApp

Discover motif in Heparan Sulphate (HS) sequences or any type of sequnces.

SMARTcleaner

SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis

metacell_based_DEA

Using SEACells to generate metacells and used as metareplicates for differential gene expression analysis.