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

7th November 2026 || Kolkata - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Yeast Bioinformatics and Computational Biology (ICYBCB), scheduled to be held on 7th November 2026 in Kolkata, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Yeast.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • 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. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • 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. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 3 SDG 3
    Good Health and Well-being
  • SDG 4 SDG 4
    Quality Education
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228