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ICSBNA · Registering as Listener

International Conference on Systems Biology and Network Analysis

27 - 28 Nov 2026 Doha, Qatar Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceICSBNA
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICSBNA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 - Good Health and Well-being SDG 4 - Quality Education SDG 9 - Industry, Innovation and Infrastructure
01 Advancements in Bioinformatics Tools +
This track focuses on the latest developments in bioinformatics software and tools that facilitate genomic analysis. Emphasis will be placed on algorithmic innovations that enhance data processing and interpretation in life sciences.
02 Computational Approaches in Systems Biology +
This session explores computational methodologies employed in systems biology to model complex biological systems. Participants will discuss the integration of various data types to understand cellular functions and interactions.
03 Genomic and Transcriptomic Data Integration +
This track addresses the challenges and solutions in integrating genomic and transcriptomic datasets for comprehensive biological insights. Presentations will highlight innovative strategies for multi-omics integration and analysis.
04 Proteomics: Techniques and Applications +
This session will cover cutting-edge proteomic techniques and their applications in understanding protein functions and interactions. Discussions will include advancements in mass spectrometry and data analysis methods.
05 Machine Learning Applications in Biology +
This track focuses on the application of machine learning algorithms in various biological contexts, including predictive modeling and biomarker discovery. Case studies will illustrate the transformative impact of AI on life sciences research.
06 Structural Modeling and Molecular Docking +
This session will delve into structural modeling techniques and molecular docking studies that predict interactions between biomolecules. Emphasis will be placed on the role of computational methods in drug discovery.
07 Data Mining Techniques in Biological Research +
This track will explore data mining methodologies that extract meaningful patterns from large biological datasets. Participants will share insights on the application of these techniques in various life science domains.
08 Pathway Analysis and Network Modeling +
This session focuses on the analysis of biological pathways and the modeling of complex networks that govern cellular processes. Discussions will include tools and frameworks for visualizing and interpreting biological networks.
09 Computational Genomics: Challenges and Innovations +
This track addresses the current challenges in computational genomics and presents innovative solutions to overcome them. Topics will include high-throughput sequencing data analysis and genomic variant interpretation.
10 Molecular Simulations in Biological Systems +
This session will cover the use of molecular simulations to study dynamic processes in biological systems. Presentations will highlight advancements in simulation techniques and their applications in understanding molecular interactions.
11 Biological Databases: Management and Utilization +
This track focuses on the development and management of biological databases that support research in life sciences. Discussions will include best practices for data curation, accessibility, and utilization in computational studies.