International Conference on Computational Biology and Bioinformatics Modeling

ICCBBM

19th Dec – 20th Dec 2026 Bacolod City, Philippines

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Registration Summary

Conference ICCBBM

Date 19th Dec – 20th Dec 2026

Location Bacolod City, Philippines

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

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

01 Mathematical Models in Computational Biology +

This track focuses on the development and application of mathematical models to understand biological systems. Emphasis will be placed on modeling techniques that enhance the interpretation of complex biological data.

SDG 3 SDG 4

02 Statistical Methods for Data Science in Bioinformatics +

This session will explore advanced statistical methodologies tailored for data analysis in bioinformatics. Participants will discuss the integration of statistical techniques with computational tools to derive meaningful insights from biological datasets.

SDG 4 SDG 9

03 Machine Learning Applications in Genomics +

This track will highlight the use of machine learning algorithms in genomic research, focusing on predictive modeling and pattern recognition. Attendees will examine case studies that demonstrate the effectiveness of these techniques in genomic data analysis.

SDG 3 SDG 9

04 Simulation Techniques in Systems Biology +

This session will address the role of simulation in understanding complex biological systems and their dynamics. Participants will discuss various simulation approaches and their applications in systems biology research.

SDG 3 SDG 4

05 Data Analytics for Proteomics Research +

This track will delve into data analytics techniques specifically designed for proteomics studies. The focus will be on the integration of computational tools to analyze protein interactions and functions.

SDG 3 SDG 9

06 Algorithms for Sequence Analysis +

This session will cover innovative algorithms developed for the analysis of biological sequences. Discussions will include algorithm efficiency, accuracy, and their applications in genomics and transcriptomics.

SDG 3 SDG 4

07 Neural Networks in Structural Biology +

This track will explore the application of neural networks in the prediction and analysis of protein structures. Participants will discuss advancements in deep learning techniques that enhance structural biology research.

SDG 3 SDG 9

08 Optimization Techniques in Computational Science +

This session will focus on optimization methodologies applied to computational science problems in biology. The discussions will highlight how optimization can improve model performance and data analysis outcomes.

SDG 9 SDG 11

09 Big Data Challenges in Bioinformatics +

This track will address the challenges posed by big data in the field of bioinformatics. Participants will explore strategies for managing, processing, and analyzing large-scale biological datasets.

SDG 9 SDG 11

10 Applied Mathematics in Biological Research +

This session will showcase the application of mathematical principles to solve biological problems. Emphasis will be placed on interdisciplinary approaches that combine mathematics with biological insights.

SDG 3 SDG 4

11 Scientific Research Applications of Computational Models +

This track will highlight the practical applications of computational models in scientific research across various biological domains. Participants will discuss case studies that illustrate the impact of these models on advancing biological knowledge.

SDG 3 SDG 4