In the past few years, large-scale biological networks have become a powerful tool to understand and interpret the complexity of living organisms. In particular, the integration of different OMICs techniques allowing for the reconstruction of biological networks including gene regulatory networks, protein-protein interaction networks, microbiome networks, signaling networks, and genome scale-metabolic models. These technologies have enhanced our understanding of complex diseases such as cancer and serious respiratory, cardiovascular, and metabolic conditions. Employing these networks in the development of new drugs and biomarkers shows great promise, and will also benefit our knowledge of infectious and rare diseases by identifying new pathogenic species.
The increasing accessibility to high throughput technologies has opened a series of new possibilities in the field of biomedicine. The biggest challenge is currently our limits in interpreting the large-scale data. In this context, this research topic seeks to collect different studies introducing new biological networks models able to present significant advances to improve the understanding of human diseases and conditions, together with the presentation of new bioinformatics tools for the construction, analysis, and application of biological networks within the field of biomedicine.
This Research Topic welcomes articles on, but not limited to, the following topics:
• Biological network models in biomedicine
o Mathematical and computational network models
o Human microbial communities (microbiome)
o Systems-level human diseases interpretations
o Drugs discovering
• New bioinformatics tools to construct and analyze biological networks for biomedicine purposes.
o Bioinformatics tools, databases, and data mining
o New OMICs technology
o Multi-omics/single-cell profiling, and analysis
In the past few years, large-scale biological networks have become a powerful tool to understand and interpret the complexity of living organisms. In particular, the integration of different OMICs techniques allowing for the reconstruction of biological networks including gene regulatory networks, protein-protein interaction networks, microbiome networks, signaling networks, and genome scale-metabolic models. These technologies have enhanced our understanding of complex diseases such as cancer and serious respiratory, cardiovascular, and metabolic conditions. Employing these networks in the development of new drugs and biomarkers shows great promise, and will also benefit our knowledge of infectious and rare diseases by identifying new pathogenic species.
The increasing accessibility to high throughput technologies has opened a series of new possibilities in the field of biomedicine. The biggest challenge is currently our limits in interpreting the large-scale data. In this context, this research topic seeks to collect different studies introducing new biological networks models able to present significant advances to improve the understanding of human diseases and conditions, together with the presentation of new bioinformatics tools for the construction, analysis, and application of biological networks within the field of biomedicine.
This Research Topic welcomes articles on, but not limited to, the following topics:
• Biological network models in biomedicine
o Mathematical and computational network models
o Human microbial communities (microbiome)
o Systems-level human diseases interpretations
o Drugs discovering
• New bioinformatics tools to construct and analyze biological networks for biomedicine purposes.
o Bioinformatics tools, databases, and data mining
o New OMICs technology
o Multi-omics/single-cell profiling, and analysis
