The rapid convergence of bioinformatics and genetic engineering has transformed modern biological research, enabling precise gene editing, multi-omics data integration, and functional validation of candidate genes. Computational approaches such as network analysis, transcriptomics, and genome-wide screening now guide the identification of regulatory elements and therapeutic targets, while CRISPR-based systems and molecular cloning techniques allow direct experimental validation. However, reproducible and standardized visual protocols linking in silico discovery to wet-lab implementation remain limited.

This Topical Collection aims to provide high-quality visualized methodologies that bridge computational biology and genetic engineering workflows. Articles will demonstrate step-by-step protocols for CRISPR/Cas gene editing, RNA interference validation, multi-omics data preprocessing and integration, functional genomics screening, and experimental confirmation of bioinformatically predicted targets. Special emphasis will be placed on host–pathogen interactions, antimicrobial resistance, cancer genomics, and translational biotechnology.

By combining visual guidance with methodological rigor, this collection will enhance reproducibility, improve technical training, and support interdisciplinary collaboration. The collection will serve researchers seeking to translate bioinformatics predictions into experimentally validated biological insights, ultimately advancing precision medicine and synthetic biology applications.