InfoTech algorithms for optimizing BioTech practice on high-throughput differential detections among symptom/syndrome-related pathogens

摘要

The high-throughput differential detections among symptom/syndrome-related pathogens (SRP) are clinically important for subsequent diagnostic and therapeutic (theranostic) practice against epidemic diseases. For simple and complex microbial genomes of viruses and bacteria, instead of using a conventional primers set for costly polymerase chain reactions (PCR), the innovative design of minimum-set (MS) multiple-use SRP-primers may offer an optimal high-throughput solution for differentially detecting SRP target sequences on encompassed unique identification regions and repeat variation regions with respective probe-array hybridization (PAH) and genotype polymorphism (GTP). In summary, the efficient Info Tech algorithms of minimum-set multiple-use SRP-primers may indeed practically optimize the theranostic BioTech practice on high-throughput differential detections among symptom/syndrome-related pathogens with either simple or complex microbial genomes.