Stemnovate provides whole genome transcriptomics as a service. This invaluable tool provides an unprecedented coverage and depth into the transcriptional regulation of cells. The platform utilises high accuracy for both long and short reads. We provide bioinformatics to reveal gene signalling networks and novel transcript signalling pathways.


Whole transcriptomics

RNA-seq is a powerful tool that can be utilized to analyze and provide an unbiased transcriptome profile. This tool ultimately empowers researchers with the ability to determine cellular functionality and gene expression during or after an experimental study.
Stemnovates WTS features;

  1. 1. Exome analysis for nucleotide sequence capture and quantitative gene expression.

  2. 2. Metatranscriptomics study for species identification and taxonomic classification and microbe quantification.

  3. 3. Discovery of novel Biomarkers inferred from in-depth bioinformatic analysis and computational modeling.

  4. 4. Chromosomal -loci gene expression report and human gender identification.



Stemnovate's Bioinformatic platform provides a robust computational analysis of biological data. Stemnovate harnesses an interdisciplinary approach integrating biological data sets with advanced mathematical analysis and computational science to capture and interpret complex data. Our platform is already being used by industry and academia for new drug discovery and understanding diseases of the heart, liver and sensory systems in the body.
Some bioinformatic workflow include :

  1. 1. Computational modeling for co-expression and fusion -fission events.

  2. 2. Gene signaling network.

  3. 3. Protein-protein interaction network

  4. 4. Phylogenetic profile occurrence.


The genotype is the genetic makeup of a cell, organism or individual with reference to a particular characteristic. The DNA variants are shown to modulate protein function, and hence drug response, through multiple mechanisms. Genetic polymorphism for cytochrome 450 (P450) enzymes leads to interindividual variability in the plasma concentrations of many drugs. In some cases, P450 genotype results in decreased enzyme activity and an increased risk for adverse drug effects. In other cases, P450 genotype may influence the dose of a drug required to achieve a desired effect

How Genotyping influences Drug Discovery?

Human population reveals differences in drug metabolism and response.

The poor metabolizers with absent cytochrome P450CYP2D6 are found in 5–10% of European and African populations, but are less common in Asian subjects.