Authors

Hadi Almohab¹ and Ramzy Al-Othmany², ¹Nusa Putra University, Indonesia, ²Institute Pertanian Bogor University, Indonesia

Abstract

Bioinformatics platforms have revolutionized clinical diagnostics by facilitating the analysis of genomic data, thereby advancing personalized medicine and enhancing patient care. This study investigates the integration, usage patterns, challenges, and impact of the Galaxy platform within clinical diagnostics laboratories. Employing a convergent parallel mixed-methods design, quantitative survey data and qualitative insights from structured interviews were gathered from fifteen participants across diverse roles in clinical settings. Findings reveal widespread adoption of Galaxy, with high satisfaction reported for its user-friendly interface and significant improvements in workflow efficiency and diagnostic accuracy. Challenges such as data security and training needs were identified, emphasizing the platform's role in simplifying complex data analysis tasks. The study contributes to understanding Galaxy’s transformative potential in clinical practice, offering recommendations for optimizing its integration and functionality. These insights are crucial for advancing clinical diagnostics and enhancing patient outcomes.

Keywords

Bioinformatics, Galaxy, Diagnostics, Precision, Genomics, Workflow, Accuracy, Cybersecurity.