Application Research of Bioinformatics in Human Diseases
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Biochemistry, Biophysics and Computational Biology".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 23643
Special Issue Editor
Special Issue Information
Dear Colleagues,
In the past decade, an unprecedented wealth of omics data has been produced by next-generation sequencing technologies and advanced Artificial Intelligence methods. The characterization and quantification of human diseases at the molecular level has never been so detailed. Omics data, such as epigenomics, metabolomics, transcriptomics, and genomics, bring a remarkable opportunity for scientists to understand the disease mechanism in a comprehensive way. The challenges coming along with the data explosion are data management, data mining, data integration, data analysis, and data interpretation.
Bioinformatics is an interdisciplinary subject of biology and computer science dealing with the above challenges. Numerous bioinformatics tools have been developed to promote the integration of omics data with traditional clinical data. The application of bioinformatics in the medical field has deepened the functional understanding of human disease mechanisms, improved the accuracy of human disease diagnosis and prognosis, and led to the discovery of novel drug targets. The contribution of bioinformatics to the medical field makes it possible to provide tailored treatment to each patient instead of treating them as an average, which is the core value of precision medicine.
The goal of this Special Issue of Life is for omics data to be manipulated appropriately, and for physicians and researchers to have a rule of thumb to follow. We encourage contributions to the development and applications of bioinformatics and statistical methods in the context of human diseases. Original studies, as well as insightful reviews, are very welcome to be published in this Special Issue.
Dr. Qian Du
Guest Editor
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Keywords
- bioinformatics
- statistical genetics
- data analysis
- omics
- cancers, cardiovascular diseases, obesity, neurodegenerative diseases, mental illness
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