The #1 algorithm in precision medicine
For many years, scientists had expected that the majority of disease-causing gene mutations would occur in the exons (coding regions) of genes. However, in recent years, it has been discovered that over 60% of disease-causing gene mutations occur in splice sites. These mutations affect the splicing process, which removes the junk DNA (introns) from every gene.
The S&S algorithm was developed by Periannan Senapathy and Marvin Shapiro to find and analyze splice site mutations in a wide variety of human diseases. Due to its high accuracy, S&S has become the top algorithm to discover disease-causing splice site mutations in human genes.

OVER 60% OF DISEASE-CAUSING GENE MUTATIONS AFFECT THE SPLICING PROCESS, AND ALL OF THEM CAN BE DISCOVERED WITH THE S&S ALGORITHM
S&S has been used to discover disease-causing gene mutations in numerous diseases, including the following:
Cancer
- Breast Cancer
- Ovarian Cancer
- Colorectal Cancer
- Leukemia
- Head And Neck Cancers
- Prostate Cancer
- Retinoblastoma
- Squamous Cell Carcinoma
- Gastrointestinal Cancer
- Melanoma, Liver Cancer
- Lynch Syndrome
- Skin Cancer
- Neurofibromatosis
- Gastric Cancer
Non Cancer
- Diabetes
- Obesity
- Neurological Disorders
- Marfan Syndrome
- Hypertrophic Cardiomyopathy
- Eye Disorders
- Muscular dystrophy
- Thyroid disorders
- Neuro-degenerative diseases
- Liver disorders
- Bardet-Biedl Syndrome
- Odontogenesis Diseases
- Beta-Ketothiolase Deficiency
- Inherited Retinal Diseases

Genome Explorer®: A comprehensive platform to discover disease genes using the S&S algorithm
Genome Explorer® is a clinical genomics platform that incorporates the S&S algorithm and several new algorithms developed by Dr. Periannan Senapathy. It is fully automated by the touch of a button, and easy to use by clinicians and clinical researchers to discover genes in any disease.
Genome Explorer® enables the discovery of genes causing disease and drug response phenotypes in patients at the point of care. It also provides the ability to discover new genes and mutations that cause different diseases by the analysis of patient cohorts. Similarly, Genome Explorer allows researchers to find the drug response genes in clinical trials for personalized drug development.
Click here to learn about Genome Explorer®.
