Introduction to Workshop
The rapid advancement of genetic and epigenetic sequencing technologies has produced vast and heterogeneous biological datasets across multiple molecular layers, including the genome, transcriptome, proteome, epigenome, metagenome, and metabolome. These data are generated at various resolutions--ranging from bulk and single-cell to spatial transcriptomics--and through diverse sequencing platforms, such as short-read and long-read technologies.
Effectively analyzing and integrating these multimodal and multi-resolution datasets presents both a substantial computational challenge and a transformative opportunity to decipher complex biological systems and disease mechanisms in humans and animals. This workshop aims to bring together researchers developing and applying cutting-edge computational algorithms for the integration, interpretation, and visualization of multimodal sequencing data.
By fostering interdisciplinary collaboration, the workshop will promote the development of innovative computational strategies that advance biomedical discovery and translational medicine.
Research Topics Included in the Workshop
Topics of interest include, but are not limited to:
- Algorithms for integrative analysis of genome, transcriptome, proteome, epigenome, metagenome, metabolome, etc.
- Machine learning and deep learning approaches for multi-omics integration
- Graph-based and network-driven models for multimodal biological data
- Dimensionality reduction and representation learning for heterogeneous omics data
- Computational tools for joint variant calling, gene regulation inference, and epigenetic state mapping
- Multi-omics data harmonization across individuals, tissues, or timepoints
- Applications in cancer genomics, neurogenetics, immunology, personalized medicine, and One Health
- Benchmarking datasets and evaluation frameworks for multi-omics algorithms
- Scalability and reproducibility in multimodal data analysis pipelines
- Visualization techniques for integrated omics datasets
Workshop Style
Hybrid. We will host the workshop in a hybrid format, allowing both in-person and virtual (Zoom or Tencent Meeting) participation.
Important Dates
- Oct 15, 2025: Due date for full workshop paper submissions
- Nov 10, 2025: Notification of paper acceptance to authors
- Nov 23, 2025: Camera-ready submission of accepted papers
- Dec 15-18, 2025: Workshop held in conjunction with IEEE BIBM 2025
Program Chairs / Co-Chairs
Dr. Lingxi Chen
Assistant Professor, Department of Biomedical Sciences, City University of Hong Kong
Email: lingxi.chen@cityu.edu.hk
Research Interests: Multiomics Integration, Genome Aberrations, AI for Biomedical Science
Dr. Xikang Feng
Assistant Professor, School of Software, Northwestern Polytechnical University
Email: fxk@nwpu.edu.cn
Research Interests: Computational Methods, Single-cell Genomics, Genome Aberrations, Bioinformatics Tools/Databases