Armenian Bioinformatics Institute

The Plant Genomics Programme focuses on the comprehensive characterization of plant genetic resources, aiming to understand the factors that shape genetic variation across plant genomes and drive phenotypic diversity in traits of adaptive and economic importance. The research explores the genetic architecture of plant adaptation to changing climatic conditions and investigates the genomic determinants of genetic diversity. A key objective is the integration of multi-omics data into innovative ...

This Programme focuses on the development, implementation, and application of bioinformatics tools for the analysis of large-scale genomic datasets. It aims to facilitate the processing, integration, and interpretation of high-throughput sequencing data, including whole-genome, transcriptome, and epigenome analyses. The Programme encompasses computational approaches for variant discovery, gene expression profiling, network biology, and multi-omics data integration.

This program is designed to encapsulate and facilitate research projects focusing on the intricate dynamics between genetic predispositions and environmental factors in the progression of chronic diseases, excluding cancer. This initiative aims to unravel the molecular mechanisms and pathways that underlie these diseases, thereby paving the way for targeted interventions and therapies.

This Programme offers a comprehensive summary of various projects focused on deciphering the intricate molecular mechanisms of cancer development, progression, and response to treatments, utilizing bioinformatics, computational biology, and machine learning. These are multi-laboratory efforts carried out across several research institutions, supported by various grant programs.

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 ...

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), ...

This project focuses on studies around brain disorders and ageing.