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International Conference on Biomolecular Interactions and Omics Technologies

ICBIOT

1st Dec – 2nd Dec 2026 Budapest, Hungary

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

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10% OFF on Registration.
Use Coupon Code → EARLY10
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Terms & Condition

Conference Session Tracks

UN SDG Wheel

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

SDG 3 SDG 4 SDG 9
01 Advancements in Proteomics and Interactomics +
This track focuses on the latest methodologies and technologies in proteomics and interactomics, emphasizing their applications in understanding complex biological systems. Researchers are invited to present studies that elucidate protein interactions and their implications in cellular functions.
SDG 3 SDG 9
02 Structural Biology and Molecular Mechanisms +
This session explores the structural basis of biomolecular interactions and their roles in cellular mechanisms. Presentations will highlight cutting-edge techniques in structural biology that reveal insights into molecular dynamics and function.
SDG 3 SDG 9
03 High-Throughput Analysis in Omics Research +
This track addresses the integration of high-throughput technologies in genomics, transcriptomics, and metabolomics. Participants will discuss innovative approaches that enhance data acquisition and analysis for comprehensive omics studies.
SDG 3 SDG 9
04 Systems Biology Approaches to Biomolecular Interactions +
This session emphasizes systems biology methodologies to model and analyze biomolecular interactions within cellular networks. Researchers are encouraged to present integrative studies that connect various omics layers to unravel biological complexity.
SDG 3 SDG 4
05 Functional Genomics and Gene Regulation +
This track focuses on functional genomics techniques that elucidate gene regulation mechanisms and their impact on cellular behavior. Presentations will cover experimental and computational approaches to understanding gene function in various biological contexts.
SDG 3 SDG 4
06 Multi-Omics Integration for Comprehensive Insights +
This session highlights the integration of multi-omics data to provide a holistic view of biological systems. Researchers will share methodologies and case studies that demonstrate the power of combining genomics, proteomics, and metabolomics.
SDG 3 SDG 9
07 Metabolomics and Cellular Metabolism +
This track delves into the role of metabolomics in understanding cellular metabolism and its implications for health and disease. Presentations will focus on novel analytical techniques and their applications in metabolic profiling.
SDG 3 SDG 4
08 Innovations in Genomic Technologies +
This session showcases the latest innovations in genomic technologies, including CRISPR, next-generation sequencing, and single-cell genomics. Researchers are invited to discuss their applications in functional studies and therapeutic developments.
SDG 3 SDG 9
09 Biomolecular Interactions in Disease Mechanisms +
This track investigates the role of biomolecular interactions in the pathogenesis of various diseases. Presentations will highlight how understanding these interactions can lead to novel therapeutic strategies.
SDG 3 SDG 4
10 Emerging Trends in Transcriptomics +
This session focuses on emerging trends and technologies in transcriptomics, including RNA sequencing and expression profiling. Researchers are encouraged to share insights into how these advancements are reshaping our understanding of gene expression.
SDG 3 SDG 4
11 Computational Approaches in Omics Data Analysis +
This track emphasizes computational methodologies for analyzing and interpreting omics data. Presentations will cover bioinformatics tools and algorithms that facilitate the integration and visualization of complex biological datasets.
SDG 3 SDG 9