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THE Dry Lab is a pioneering life science research platform in the OMICS, molecular technology, stem cells and bioinformatics field. With the aim of delivering a confluence of technologies, combining databases, data mining, machine learning and artificial intelligence with outcomes of products and commercialisation.

 

The Dry Lab incubates life science start-ups that can leverage Avesthagen’s comprehensive R&D expertise and selected intellectual property to further facilitate commercialization of Avesthagen’s vast patent portfolio. A dedicated leadership team combines product development with research service capabilities driving innovation from lab to shelf.

 

Our current work with The Avestagenome Project®️ involves a systems biology approach wherein whole genome sequencing of the endogamous global Parsi population is being conducted with the goal of identifying and understanding predictive genetic markers for cancer, neurodegenerative diseases and longevity studies. The genomic, transcriptomic, proteomic and metabolomic output is further analysed and integrated using Big Data Analytics.

 

THE Dry lab encourages and facilitates partnerships and co-development with relevant players in the life sciences industry and global research community.

 

The initial focus of THE Dry Lab are cancers, metabolic disorders, neurodegenerative disorders and rare diseases. The collection of 45,000 rare blood samples across 9 Indian cities has been completed and will be complemented by further sample collection under the Foundation for a Smoke-Free World Grant programme. 

 

THE Dry Lab’s Key Drivers are:

 

■ Systems Biology analyses of The Avestagenome Project® samples

■ Genomics laboratory for Whole Genome Sequencing of Parsi genomes

■ Big Data Analysis to analyze and integrate data from genomics, transcriptomics, proteomics and metabolomics

 

THE Dry Lab’s Key Deliverables are:

 

■ To elucidate gene function

■ To identify new genes that predispose individuals to a range of diseases

■ To identify which experimental drugs will be most likely to succeed from generated data

■ Conservation of the biological heritage of the endogamous Parsi population

■ Creation of disease-specific family-based pluripotent stem cell lines

■ Directly to benefit the Parsi community by identifying the causal genes and other factors causing the diseases prevalent in the community