DUBAI, UAE, December, 2019 – Euformatics, a world-leader in NGS data quality control applications and variant interpretation solutions, has appointed Dubai-headquartered Alliance Global (AGBL) as the exclusive distributor for its bioinformatics software in the Middle East, Asia and Africa.
“Euformatics is delighted to be working with Alliance Global as our exclusive distributor in the region to ensure that as the use of NGS technology continues to expand, Middle East users will be able to gain a quick and in-depth insight into their data, while making sure that it is of the highest possible quality. As Alliance Global has one of the greatest footholds in the region for sequencing knowledge and sales as well as a strong network of partners, we look forward to building lasting relationships with customers in the region.”emphasized Allyana Thomas, Business Development Manager at Euformatics.
“We believe that our partnership with Euformatics will enrich our genomics solutions offerings to our customers, the omnomicsQ quality software provides the first line of defence against quality issues at all stages of the data analysis pipeline, while omnomicsNGS provides users with all the information needed to make the right clinical decisions”, said Ms. Althea Fernandez, Genomics Product Manager at AGBL.
Alliance Global Group of companies is the largest biomedical gateway in the Middle East, Africa, and Asia. The group is dedicated to bringing innovative technologies and products to researchers, clinicians, and diagnostic users in the region’s emerging healthcare market. The group’s mission is to improve lives through novel biomedical technologies and products.
Euformatics is a Finnish software company that specialises in high standard bioinformatics tools for genomic data interpretation. Since 2010, Euformatics has been helping medical doctors and molecular genetics laboratories provide better precision medicine for cancer, common or rare disease diagnostics. At present, our core solutions include omnomicsNGS; for clinical analysis of patient NGS data, and omnomicsQ; for NGS data quality management.