Projects

Together with the scientists at Agenus, a US-based biotech company specializing in innovative forms of cancer treatment, including the discovery and development of immuno-oncology therapies, ABI has formed a team of students and researchers to study cancer metastases and identify potential biomarkers and targets for cancer immunotherapies. This collaboration is also part of our long-term vision of supporting biotech developments in Armenia. The team discovers transcriptomics heterogeneity of Liver ...

Principal Investigator: Prof. Hans Binder

University: University of Leipzig

Research Group: Kristina Margaryan, Maria Nikoghosyan, Tomas Konecny, Anush Baloyan, Hripsime Gasoyan, Emma Hovhannisyan, Levon Galstyan, Duan Shengchang

Duration: 2023-2027

Co-implementing and hosting partner: Armenian Bioinformatics Institute (ABI) and Institute of Molecular Biology

Project Importance The cultivated grape (Vitis vinifera) has become the world’s leading fruit crop. Grape is unique not only because it is ...

We investigate telomeric fragments in cell-free DNA in blood plasma in disease. We aim to develop novel diagnostic approaches to identify and monitor disease status in cancers and chronic disorders through liquid biopsies.

We develop bioinformatics algorithms and tools to explore the temporal dynamics of microbiome communities in response to environmental perturbations and treatments. We seek to understand the mechanisms through which the direct effects of perturbations propagate via microbial interaction networks, leading to changes in microbiome composition over time.Through application of these techniques we study antibiotic resistance in complex microbial communities, the impact of pesticides on bee gut microbiome ...

The aim of this project is to establish a bank of induced pluripotent stem cells from patients with Familial Mediterranean Fever (FMF) using cell reprogramming approaches for a more comprehensive study of disease molecular mechanisms. In Armenia, FMF prevalence is about 14-100 per 10,000 inhabitants, depending on the region. For the comprehensive research of the disease, it is necessary to have appropriate cell platforms that will contain pathogenic mutations of the FMF. Created stem cell bank ...

This project focuses on developing and applying machine learning (ML) methodologies to analyze complex omic datasets, including genomics, transcriptomics, proteomics, and metabolomics. By leveraging advanced ML techniques, the project aims to uncover novel biological insights, identify biomarkers, and enhance our understanding of molecular mechanisms underlying various diseases. The initiative is a collaborative effort maintained by the Institute of Molecular Biology NAS RA (IMB), ...

The overarching objective of this project is to utilize nanopore sequencing technology and to develop machine learning–based pipelines for the integrative analysis of heterogeneous biological "big data," including multi-omic and phenotypic datasets. The goal is to investigate the molecular mechanisms underlying selected cancers and to identify novel omics-based markers for cancer classification, diagnostics, and prognostics.