The Genome Institute of Singapore (GIS) is developing cutting edge software suite, computerized pipelines and electronic databases for diverse applications in bioinformatics, computational biology, genomics, phenomics and clinical data analysis. Many of these software projects lead to tools that can also have a useful application in a commercial setting. GIS is ready to license out those tools for conditions favorable for the business partners. GIS is also open to joint software/database development, modification and maintenance projects in the fields mentioned in collaboration with industrial partners.
List of software
| Software Product | Application | GIS Team Maintaining the Tool |
| BANKSY | Spatial omics clustering algorithm | Shyam Prabhakar |
| DUBStepR | Algorithm for feature selection based on gene–gene correlations | Shyam Prabhakar |
| Fragle | Estimate ctDNA fraction directly from the density distribution of cell-free DNA fragment lengths | Anders Skanderup |
| m6anet | Detection of m6A from direct RNA sequencing | Jonathan Göke |
| NDRquant | Circulating tumor DNA (ctDNA) in plasma | Anders Skanderup |
| proActiv | Determination of promoter activity from RNA-Seq data | Jonathan Göke |
| PUREE | Determining tumor purity (proportion of cancer cells in a sample) from bulk gene expression profiles of solid tumors | Anders Skanderup |
| RCAv2 | Clustering and cell type annotation of single cell RNA sequencing data (scRNAseq) | Shyam Prabhakar |
| SMuRFv2 | Somatic mutation calling | Anders Skanderup |
| VarNet | Identification of somatic mutations in tumor samples | Kiran Krishnamachari and Anders Skanderup |
| VarNet-T | Identify somatic variants from aligned tumor reads without a matched normal sample | Kiran Krishnamachari and Anders Skanderup |
| xPore | Identification of differential RNA modifications from direct RNA-Seq data | Jonathan Göke |