Integrative Multi-Omics and Single-Cell Approaches to Study Complex Diseases
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".
Deadline for manuscript submissions: closed (15 August 2021) | Viewed by 655
Special Issue Editors
Interests: cardiovascular diseases; human genetics; functional genomics; single-cell sequencing; bioinformatics; drug discovery
Special Issues, Collections and Topics in MDPI journals
Interests: integrative multiomics; systems biology; complex diseases; cardiometabolic diseases; brain disorders
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are reaching out to request your participation in our Special Issue: “Integrative multiMulti-Omics and Single-Cell Approaches to Study Complex Diseases” in Genes.
Recent advances in genomic sequencing technologies have led to an explosion in multi-omics datasets (e.g., genomics, transcriptomics, epigenomics, metabolomics, proteomics, microbiomics, etc.), which has been accompanied by the development of novel computational genomics tools to analyse these data and perform integrative analysis. Together, these approaches have rapidly expanded the number of discoveries for complex diseases, such as cancer, cardiometabolic disease, neurological diseases, and immune diseases. Many of these new methods have been adapted to the single-cell level, which has revealed new challenges to overcome related to data heterogeneity, signal-to-noise, sparsity, scalability, and validation.
In this Special Issue, we hope to bring together experts in genomics from multi-disciplinary backgrounds to share their collective expertise in a broad range of topics related to multi-omics data integration for various complex human diseases. We expect the themes to cover various topics, such as bulk and single-cell multi-omics and multi-modal data acquisition and analyses (e.g., scRNA-seq and scATAC-seq), other epigenomic profiling and proteomics methods, spatial transcriptomics, data harmonization and normalization methods, quantitative trait locus mapping methods, development of user-friendly pipelines for end-to-end analysis, web platforms for sharing and visualizing datasets, as well as challenges with computational scalability, cost, benchmarking and validation. We welcome applications to a broad range of cell/tissue and disease areas, involving either publicly available or custom datasets. We also welcome multiple manuscript formats, including original research articles, reviews or mini-reviews, opinions, hypotheses, or theories.
Dr. Clint L. Miller
Prof. Dr. Xia Yang
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- complex diseases
- cardiovascular diseases
- genome-wide association studies
- multi-omics analysis
- computational systems biology
- single-cell analysis
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