Software&Database / 软件数据库


Here are some software we have developed. We hope these programs will be useful for your research, and we'd love to hear feedback from you!

  • SCeQTL: an R package that uses zero-inflated negative binomial regression to do eQTL analysis on single-cell data. It can distinguish two type of gene-expression differences among different genotype groups
  • scRecover: an R package for imputation of single-cell RNA-seq (scRNA-seq) data
  • D2R: a new statistic for efficient detection of repetitive sequences
  • SCRL: toolkit developed for learning meaningful representations for scRNA-seq data by integrating multiple source of network information
  • DEsingle: an R package for differential expression (DE) analysis of single-cell RNA-seq (scRNA-seq) data
  • nuMetaSim: an non-uniform Metagenomic sequencing Simulation system
  • ulfasQTL: an Ultra-Fast Method of Splicing QTL Analysis
  • dbSUPER: a database of super-enhancers in mouse and human genome
  • ASEB: A Web Server for KAT-specific Acetylation Site Prediction
  • NURD: a new algorithm to inference isoform expression
  • RNAseqViewer: Visualizing RNA-Seq data
  • DSGseq: a useful tool for identifying differentially spliced genes from two groups of RNA-seq samples
  • SeqSite: ChIP-Seq Binding Site Identification
  • DEGseq: An R package for Identifying Differentially Expressed Genes from RNA-seq data
  • SeqSaw: A package for mapping of spliced reads and unbiased detection of novel splice junctions from RNA-seq data
  • Nu-OSCAR: a program that can be used to identify binding sites of known transcription factors
  • triplet-SVM: for predicting a query sequence with hairpin structure