Hybrid Conferencee

International Conference on Yeast Bioinformatics and Computational Biology (ICYBCB - 26)

5th - 6th August 2026 | Bogota, Colombia

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
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Keynote Speaker Sessions:
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Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Bogota."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Yeast Genome Annotation

This track focuses on the latest methodologies and tools for genome annotation in yeast species. Participants will discuss the challenges and innovations in accurately annotating yeast genomes to enhance functional understanding.

Track 02

Comparative Genomics of Yeast Species

This session will explore comparative genomics approaches to understand evolutionary relationships among various yeast species. Researchers will present findings that highlight the genetic diversity and functional adaptations of yeast.

Track 03

Systems Biology Approaches in Yeast Research

This track emphasizes the integration of systems biology techniques to study yeast as a model organism. Discussions will center on how systems-level analyses can elucidate complex biological processes in yeast.

Track 04

Protein Structure Prediction in Yeast Proteomes

This session will cover the latest advancements in protein structure prediction specifically within yeast proteomes. Participants will share insights on computational methods that enhance our understanding of protein function and interactions.

Track 05

Omics Data Integration for Yeast Studies

This track will focus on the integration of various omics data types, including genomics, transcriptomics, and proteomics, in yeast research. Presenters will discuss innovative strategies for data integration that facilitate comprehensive biological insights.

Track 06

Pathway Modeling and Network Analysis in Yeast

This session will delve into computational modeling of metabolic and signaling pathways in yeast. Researchers will present network analysis techniques that help elucidate the dynamic interactions within yeast cellular systems.

Track 07

Data Mining Techniques in Yeast Bioinformatics

This track will explore the application of data mining techniques to extract meaningful patterns from large yeast datasets. Participants will discuss novel algorithms and tools that enhance data interpretation in yeast bioinformatics.

Track 08

Computational Genomics Tools for Yeast Research

This session will highlight the development and application of computational tools designed for yeast genomics research. Presenters will showcase innovative software solutions that facilitate genomic analysis and visualization.

Track 09

Structural Bioinformatics in Yeast Systems

This track will focus on the role of structural bioinformatics in understanding yeast biology. Discussions will include the use of structural data to inform functional predictions and experimental design.

Track 10

Functional Annotation of Yeast Genomes

This session will address the methodologies and challenges associated with the functional annotation of yeast genomes. Researchers will share their experiences and strategies for improving annotation accuracy and utility.

Track 11

Algorithm Development for Yeast Bioinformatics

This track will explore cutting-edge algorithm development tailored for yeast bioinformatics applications. Participants will discuss the impact of novel algorithms on data analysis and interpretation in yeast research.