RESEARCH

The QULAB current research interests include:

  1. Precision medicine, personalized regulome of cancer and autoimmune diseases
  2. Single cell multi-OMICS technology development
  3. Biomedical big data analysis and bioinformatics software system development and application

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 :