Armenian Bioinformatics Institute

🌟 Reminder: OMICSS-26 Early Bird Registration is Open! 🌟

🚀 Applications are now open for OMICSS-26, the fifth edition of our beginner-friendly Genome Bioinformatics Summer School.

🧬 OMICSS-26 offers hands-on training in bioinformatics, data science, and life sciences, covering modern molecular technologies, bioinformatics algorithms, NGS, and a real-world bioinformatics project.

🗝️ New to the field? Optional bridge courses in molecular biology, programming, and statistics are available separately to help beginners prepare.

📍 ABI, Yerevan, Armenia
📅 July 20 – August 14, 2026
❗ Early Bird Deadline: May 10
🔗 Learn more and apply: https://lnkd.in/dcGXbEzS

🤝 Organized in partnership with ARCS.ai and the Institute of Molecular Biology.

🌟 OMICSS-26 Summer School Early Bird Registration is Now Open! 🌟

🚀 Applications are now open for OMICSS-26, the fifth edition of our beginner-friendly Genome Bioinformatics Summer School.

🧬 Designed especially for those stepping into bioinformatics, OMICSS-26 offers hands-on training at the intersection of bioinformatics, data science, and life sciences. Participants will explore modern molecular technologies, bioinformatics algorithms, next-generation sequencing (NGS), and work on a real-world bioinformatics project.

🗝️ New to the field? Optional bridge courses in molecular biology, programming, and statistics are offered separately to help beginners build essential background knowledge before the summer school.

📌 Key Information Not to Miss

📍 Location: Armenian Bioinformatics Institute (ABI), Yerevan, Armenia
📅 Program Dates: July 20 – August 14, 2026
❗ Early Bird Registration Deadline: May 10
🔗 Learn more and apply: https://lnkd.in/dcGXbEzS

The 2026 edition is organized in partnership with ARCS.ai and the Institute of Molecular Biology, reinforcing the program’s strong academic and technological foundation and fostering closer collaboration between research, education, and innovation. 🤝

🍇 New Paper from Binder Lab!

We’re happy to share that our latest study, “A topological map of the genetic components of grapevine—Admixture meets SOMmelier machine learning”, is now published in PLOS Computational Biology.

In this study, we explore how natural evolution and human-driven processes like domestication and breeding shape genomic variation. By combining classical admixture analysis with Self-Organizing Maps (SOMs), we create an intuitive topological “genetic landscape” of the cultivated grapevine.

Our approach not only recovers known population structure, but also mirrors geography across Europe and West Asia and preserves signals of grapevine cultivation history stretching back ~11,000 years.

This work shows how machine learning can support and extend standard population genetics methods — offering new ways to visualize and interpret complex genomic data.

Read more here: https://www.abi.am/news/new-publication-from-binder-lab-in-plos-computational-biology