Merging Computer Science and Microbiology: Interdisciplinary Approaches to Modern Biological Challenges

Microbiology has long relied on experimental methods for studying microorganisms. However, the advent of high-throughput sequencing and omics technologies has created a massive influx of data, requiring advanced computational methods for effective analysis. Computer science—through machine learning, data mining, and modelling—offers powerful tools to interpret this complex biological data. This paper explores the synergies between these fields and highlights case studies where interdisciplinary research has produced tangible outcomes.