14th International Conference on Bioinformatics and Computational Biology (ICBCB 2026)
Publication
Papers from ICBCB 2026 will be published in the ICBCB 2026 Conference Proceedings, indexed by Ei Compendex and Scopus. In recent years, ICBCB papers have consistently been included in these prestigious databases.
Topics of Interest
Submissions are welcome on a wide range of topics, including but not limited to:
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Bioinformatics:
- Genome analysis
- DNA, RNA, and protein sequence analysis
- Next-generation and third-generation sequencing
- Biomarker discovery
- Functional genomics
- Gene expression analysis
- Structural bioinformatics
- Single cell omics
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Computational Biology and Medical Informatics:
- Bio-data visualization
- Adaptive computation in bioinformatics
- Bio-inspired computing
- Computational systems biology
- Big data analytics in healthcare
- Biological network reconstruction and analysis
- Health informatics
- Human-centric applications
Call for Invited Speakers
Experts and scholars are invited to join ICBCB 2026 and deliver an Invited Talk of 20-25 minutes. Please send your bio to the conference email: icbcb_contact@163.com for review. Qualified individuals will receive partial financial support after completing regular registration.
Call for Special Sessions
To foster exchange in Bioinformatics and Computational Biology, ICBCB 2026 is soliciting proposals for Special Sessions. Interested scholars should submit their proposals to icbcb_contact@163.com.
Optional Themes for Special Sessions
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AI-Driven Multi-Omics Integration for Precision Medicine:
- Deep learning models for multi-omics data fusion
- AI applications in cancer genomics and immunotherapy
- Integrative analysis of genomics, transcriptomics, and proteomics
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Advances in Computational Drug Discovery and Molecular Simulation:
- AI-based virtual screening and drug repurposing
- Generative models for novel compound design
- Multi-target drug design and pathway-based therapeutics
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Biological Network Analysis and Systems Biology:
- Network-based disease gene prioritization
- Systems-level modeling of cellular processes
- Graph neural networks for biological data
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Computational Methods for Single-Cell Omics and Spatial Transcriptomics:
- Clustering and trajectory inference in single-cell data
- Integration of spatial and transcriptomic information
- Cell type identification using deep learning
The organizing committee will offer participation support to the organizers once a special session is successfully established.
Submission and Contact Methods
- Submission Methods: Submit Here
- E-mail: icbcb_contact@163.com
- Tel.: +86-19136119387
- Conference Secretary: Ms. Jamila Liu