The QULAB current research interests include:

1. Single cell and spatial omics technology development
   
2. Big data analysis algorithms and AI for biomedicine
   
3. Extrachromosomal circular DNA in cancer

SOFTWARE:

1. Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution: https://github.com/QuKunLab/SpatialBenchmarking
2. Profiling Interacting RNAs on Chromatin followed by deep sequencing:
   PIRCh-seq: https://github.com/QuKunLab/PIRCh
3. Algorithm for recovering scRNA-seq gene expression data with high dropout rate:
   WEDGE: https://github.com/QuKunLab/WEDGE
4. Pipeline for ATAC-seq data analysis:
   ATAC-pipe : https://github.com/QuKunLab/ATAC-pipe
5. Single cell epigenomic clustering based on accessibility pattern:
   APEC : https://github.com/QuKunLab/APEC
6. Pipeline for integrated analysis of eCLIP and DMS/PARS:
   SMAtool : https://github.com/QuKunLab/SMAtool

QuLab 宣传视频 :