Harnessing Omic Technologies: Bioinformatics Innovations in Diagnosing Microbial Infectious Diseases

The rapid evolution of omic technologies such as spanning genomics, transcriptomics, and proteomics, is reshaping how we detect and manage infectious diseases. This Research Topic brings together cutting edge work at the intersection of bioinformatics and clinical microbiology, exploring how integrated multi-omic approaches can accelerate pathogen identification, uncover complex microbial interactions, and inform more targeted treatment strategies.A key focus of this collection is the translation of computational advances into clinical practice. By merging bioinformatics with state-of the art diagnostic methodologies, this collection seeks to improve both the speed and precision of infectious disease detection, ultimately enabling clinicians to make faster, more informed decisions at the bedside.This Research Topic covers, but is not limited to, the following themes:- Multi-omic integration: combining genomics, transcriptomics, proteomics, and metabolomics to build a comprehensive picture of host-pathogen dynamics- Pathogen identification and characterization: novel bioinformatics pipelines and sequence analysis tools for accurate microbial detection- Antimicrobial resistance (AMR): computational approaches to identifying resistance mechanisms and guiding treatment decisions- Artificial intelligence in diagnostics: machine learning and deep learning methods applied to imaging data, pattern recognition, and clinical decision support- Microbiome profiling: metagenomic approaches to understanding microbial communities in the context of infectious disease- Precision medicine: tailoring therapeutic strategies based on omic and AI-driven insights- Point of care and rapid diagnostics: translating bioinformatics innovations into scalable, real world diagnostic toolsWe welcome original research, systematic reviews, methods articles, and perspectives from researchers and clinicians working across microbiology, genomics, bioinformatics, computational biology, and infectious disease medicine. This collection aims to foster collaboration between technology developers and clinical practitioners, accelerating the adoption of advanced diagnostic tools and bridging the gap between innovation and patient care. Topic editors: INMACULADA TOMÁS CARMONA, Triana Blanco Pintos, Amit Ranjan, Mehmet Demirci Source: https://www.frontiersin.org/research-topics/82955/harnessing-omic-technologies-bioinformatics-innovations-in-diagnosing-microbial-infectious-diseases