Bioinformatics Analysis of Single Cell and Spatial Mutil-Omics
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 36
Special Issue Editor
Interests: transcriptome; genome; assembly and annotation; metagenomics; metatranscriptomics; next-generation sequence (NGS); single cell analysis; spatial biology
Special Issue Information
Dear Colleagues,
Single-cell and spatial multi-omics technologies are rapidly evolving fields that use high-throughput sequencing technologies to profile cells from heterogeneous populations to understand the molecular basis of cellular processes and combine imaging and sequencing to provide a deeper understanding of how cells interact and are organized within tissues. With a focus on the “four big omics”, i.e., genomics, transcriptomics, proteomics, and metabolomics, the joint analysis of the genome, epigenome, transcriptome, proteome, and/or metabolome from single cells and spatial omics can transform our understanding of cell biology in health and disease. Single-cell omics provides unprecedented resolution and sensitivity to reveal diverse cell types, rare cell populations, and dynamic cellular states. Spatial omics can simultaneously measure the molecular characteristics and physical structure of tissue to quantify the abundance of proteins, transcripts, or genes in specific regions of a tissue and understand cell–cell interactions, cell-state transitions, and the spatial distribution of gene expression. This Special Issue will be dedicated to the following bioinformatics topics: 1) single-cell multi-omics, 2) spatial multi-omics, and 3) the methods and/or applications of single-cell/spatial omics in biomedical research, such as developmental biology, neurobiology, cancer research, immunology, and precision medicine.
Dr. Fahong Yu
Guest Editor
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Keywords
- bioinformatics
- single-cell omics
- spatial multi-omics
- matabolomics
- genomics
- transcriptomics
- proteomics
- next-generation sequencing techniques
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