Sangerbox 2: Enhanced Functionalities and Update for a Comprehensive Clinical Bioinformatics Data Analysis Platform

In recent years, development in high-throughput sequencing technologies has experienced an increasing application of statistics, pattern recognition, and machine learning in bioinformatics analyses. SangeBox platform to meet different scientific demands. The new version of Sangs is a widely used tool among many researchers, which encourages us to continuously improve the plerBox 2 () and extends and optimizes the functions of interactive graphics and analysis of clinical bioinformatics data. We introduced novel analytical tools such as random forests and support vector machines, as well as corresponding plotting functions. At the same time, we also optimized the performance of the platform and fixed known problems to allow users to perform data analyses more quickly and efficiently. SangerBox 2 improved the speed of analysis, reduced resource required for computer performance, and provided more analysis methods, greatly promoting the research efficiency. This abstract showcases the key enhancements of SangerBox 2, focusing on versatility, performance optimization, rich visualization tools, user-friendliness, and enhanced interactivity. The platform integrates advanced machine learning tools, improves computational efficiency, and introduces new visualization options like wordclouds and Manhattan plots. Interactive features allow real-time heatmap adjustments, greatly enhancing the user experience. SangerBox 2 supports both public and personal data, utilizing cloud storage and computing, making it a versatile tool for bioinformatics research.image SangerBox 2.0 has expanded its features by adding new machine learning tools, including random forest and support vector machine (SVM), with improved plotting capabilities. The platform's performance and visualization tools have been significantly optimized, including the introduction of interactive adjustments for heatmaps. SangerBox 2.0 stands out in bioinformatics analysis due to its enhanced multifunctionality, user-friendliness, and superior performance compared to other platforms.