In the past two decades, the research field of pathogenic microbiology has witnessed the rapid development of omics technology and the explosive accumulation of omics data. A more completed omics data become available for an increasing number of pathogenic microorganisms, from genome sequence to the transcriptome, proteome, and even protein three-dimensional structure data. However, it remains challenging in selecting the optimized technology with multi-omics data and applying them to promote the research of pathogenic microbiology, which requires cross-sectoral and interdisciplinary research. Therefore, As a result, computational biology methods based on omics data have emerged for the study of pathogenic microorganisms, such as sequence analysis methods for inter-sequence comparison and evolutionary analysis, quantitative trait analysis methods for the phenotypic and genotypic association, and structural prediction methods for proteins, protein ligands, and protein-protein interactions.
In this Research Topic, we would like to create a forum and encourage researchers to publish their recent works focusing on, but not limited to, the following aspects:
1. Evolution and phylogeny with genomic data: Many pathogenic microorganisms are important species in taxonomy and phylogeny. Phylogenetic analysis based on genome sequence has significant importance in pathogenic microorganisms studies.
2. Novel computational methods for monomer, dimer, and multimer protein structures, including protein interactions with ligand, RNA/DNA and other proteins inside microbial phenomena, as well as data set compilation for microbial proteins.
3. Genomics of pathogenic microbe using new sequencing techniques. The development of sequencing technologies, including PacBio and nanopore, HiC sequencing technology, and single-cell sequencing technology, provides more means for the complete acquisition of pathogenic microbial genome sequences which opened up a new situation for the clinical and basic research of related diseases.
In the past two decades, the research field of pathogenic microbiology has witnessed the rapid development of omics technology and the explosive accumulation of omics data. A more completed omics data become available for an increasing number of pathogenic microorganisms, from genome sequence to the transcriptome, proteome, and even protein three-dimensional structure data. However, it remains challenging in selecting the optimized technology with multi-omics data and applying them to promote the research of pathogenic microbiology, which requires cross-sectoral and interdisciplinary research. Therefore, As a result, computational biology methods based on omics data have emerged for the study of pathogenic microorganisms, such as sequence analysis methods for inter-sequence comparison and evolutionary analysis, quantitative trait analysis methods for the phenotypic and genotypic association, and structural prediction methods for proteins, protein ligands, and protein-protein interactions.
In this Research Topic, we would like to create a forum and encourage researchers to publish their recent works focusing on, but not limited to, the following aspects:
1. Evolution and phylogeny with genomic data: Many pathogenic microorganisms are important species in taxonomy and phylogeny. Phylogenetic analysis based on genome sequence has significant importance in pathogenic microorganisms studies.
2. Novel computational methods for monomer, dimer, and multimer protein structures, including protein interactions with ligand, RNA/DNA and other proteins inside microbial phenomena, as well as data set compilation for microbial proteins.
3. Genomics of pathogenic microbe using new sequencing techniques. The development of sequencing technologies, including PacBio and nanopore, HiC sequencing technology, and single-cell sequencing technology, provides more means for the complete acquisition of pathogenic microbial genome sequences which opened up a new situation for the clinical and basic research of related diseases.
