Human Genetics - Call for Papers - Special Issue on "Methods and applications of multi-omics data analysis in human genetic disease"
Methods and applications of multi-omics data analysis in human genetic disease
Multi-omics research is increasingly recognized as being important for understanding and prediction of complex diseases. Driven by technological advances, many cost-effective and high-throughput technologies have become available to generate omics data, from quantification of the expression level to comprehensive profiling of RNA, protein, lipids, microbiome, metabolites and the genome. The availability of multi-omics data stimulates the development of novel bioinformatics and statistical approaches. A number of integrative multi-omics analysis approaches have been developed for improving classification of disease into clinically relevant subgroups and identifying disease related biomarkers. By employing effective analytical approaches, omics data can also facilitate unravelling biological networks regulating transitions from health to disease and discovering novel mechanisms of human genetic diseases. With increasing quality, diversity, and quantity of the multi-omics data, the analysis and application of multi-omics data may further shift the practice of health monitoring, early screening, disease management, and therapeutic development.
We are excited to announce a Special Issue of Human Genetics edited by Prof. Maggie Wang and Prof. Huiying Zhao. The aim of this Special Issue is to capture some of the key advances made in interpreting human genetic disease through multi-omics studies, highlighting new approaches as well as novel findings in relation to disease mechanisms. The issue will focus on the many aspects of Methods and applications of multi-omics data analysis in human genetic disease, including:
- Methods of sequencing reads analysis, including long read sequencing
- Prioritizing pathogenic mutations through multi-omics data analysis
- Post-genome-wide association study analysis
- Integrating omics data in drug discovery
- Methods/applications of single-cell sequencing data analysis, including spatial transcriptomics analysis and single-cell multi-omics
Human Genetics invites contributions of original investigations and studies for this Special Issue. Authors are encouraged to contact the Guest Editors for any inquiries or to discuss their potential submissions.
Timeline:
Submission deadline: February 28th, 2024
Submit to Human Genetics (this opens in a new tab)
Expected publication: May 2024
Guest Editors:
Huiying Zhao, Ph.D.
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
zhaohy8@mail.sysu.edu.cn (this opens in a new tab)
Maggie Wang, Ph.D.
The Chinese University of Hong Kong