Microbial Genomics in the Age of Omics and Artificial Intelligence
A special issue of Microorganisms (ISSN 2076-2607). This special issue belongs to the section "Microbial Biotechnology".
Deadline for manuscript submissions: 31 May 2025
Special Issue Editors
Interests: bioinformatics; reverse vaccinology; probiotic; immunoinformatics; next generation sequencing data analysis; pan genomics; metagenomics; pathogenomics
Interests: pangenomics; reverse vaccinology; drug-discovery; bioinformatics; pathogenomics
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; reverse vaccinology; probiotic; immunoinformatics; next generation sequencing data analysis; pan genomics; metagenomics
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; reverse vaccinology; probiotic; immunoinformatics; next generation sequencing data analysis; pan genomics; metagenomics
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; reverse vaccinology; probiotic; immunoinformatics; next generation sequencing data analysis; pan genomics; metagenomics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Since the advent of next-generation sequencing technologies, the number of genome projects documented in online genomic databases has increased exponentially, particularly for bacterial genomes. This heightened interest in bacterial organisms is primarily attributed to their ubiquitous presence and their diverse applications across industry, agriculture, research, and numerous other fields. Of particular significance are pathogenic bacteria, which warrant close attention due to their medical and veterinary relevance and their prominent role in integrated one health approaches.
The application of omics technologies—including genomics, transcriptomics, proteomics, metabolomics, among others—holds significant potential for advancements in pangenomics, phylogenomics, whole-genome multi-locus sequence typing, reverse vaccinology, subtractive genomics, studies on genome plasticity (focusing on pathogenicity and resistance islands), protein–protein interactions, and metabolic pathway predictions. Furthermore, these approaches are increasingly complemented by artificial intelligence techniques, particularly machine learning.
This Special Issue invites manuscript submissions that enhance our comprehension of host–pathogen interactions. Topics of interest include, but are not limited to, the identification of virulence factors and resistance-associated genes within pathogenicity and resistance islands using pangenomic strategies, the discovery of novel vaccine and drug targets through reverse vaccinology and subtractive genomics to address the escalating issue of multi-drug resistance, and the prediction of protein–protein interactions and metabolic pathways, accompanied by analyses of biofilm formation. Submissions focusing on one health perspectives, genomic islands, and pangenomic approaches with a particular emphasis on antibiotic resistance are highly encouraged.
Prof. Dr. Sandeep Tiwari
Dr. Arun Kumar Jaiswal
Prof. Dr. Siomar De Castro Soares
Dr. Flávia Figueira Aburjaile
Prof. Dr. Vasco Ariston De Carvalho Azevedo
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- microbial genomes
- genome plasticity
- next-generation sequencing
- one health approach
- pangenomics
- reverse vaccinology
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