From Basic to Translational Bioinformatics of Human Infectious Diseases 2.0
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 198
Special Issue Editor
Interests: translational bioinformatics; genomics; tuberculosis; HIV; SARS-CoV-2
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is a continuation of our previous Special Issue “From Basic to Translational Bioinformatics of Human Infectious Diseases”.
In recent years, biomedical research with translational potential gradually changed from the investigation of limited sets of biological elements to a broader, more general, and complete perspective. The important factors in this transition were remarkable technological developments in sequencing and related technologies, sample preparation, and bioinformatics tools. The ongoing revolution in this area enabled multiomics approaches, the sequencing of nucleic acids at single-cell resolutions, among others. In parallel, the potential for the use of publicly available “omics” datasets in integrative large-scale analysis is ever-increasing. Collectively, this raises the possibility of undertaking research, considering the close to full complexity of biological systems, that can be translated into advanced diagnostics, medical procedures, and therapies.
In this Special Issue of Genes, we invite you to send your contributions concerning any aspects related to the use of genomics, transcriptomics, proteomics, metabolomics, or other “omics” in fundamental or applied human infectious diseases studies. Submissions may range from genetic to metabolic and evolutionary aspects of host–pathogen interactions, including transcriptomic or epigenetic changes related to immune system responses or antimicrobial resistance in major, emerging, or neglected human infectious diseases.
Dr. Nuno S. Osório
Guest Editor
Manuscript Submission Information
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Keywords
- genomics
- transcriptomics
- metabolomics
- infectious diseases
- omics
- bioinformatics
- host–pathogen interaction
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