Sangerbox 2:增强功能,更新综合临床生物信息学数据分析平台

IF 23.7 Q1 MICROBIOLOGY iMeta Pub Date : 2024-09-02 DOI:10.1002/imt2.238
Di Chen, Lixia Xu, Huiwu Xing, Weitao Shen, Ziguang Song, Hongjiang Li, Xuqiang Zhu, Xueyuan Li, Lixin Wu, Henan Jiao, Shuang Li, Jing Yan, Yuting He, Dongming Yan
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引用次数: 0

摘要

近年来,随着高通量测序技术的发展,统计学、模式识别和机器学习在生物信息学分析中的应用日益广泛。SangeBox 平台可满足不同的科研需求。新版 Sangs 是许多研究人员广泛使用的工具,这促使我们不断改进 plerBox 2 (http://vip.sangerbox.com),并扩展和优化了交互式图形和临床生物信息学数据分析的功能。我们引入了随机森林和支持向量机等新型分析工具以及相应的绘图功能。同时,我们还优化了平台的性能,修正了已知的问题,使用户能够更快、更高效地进行数据分析。SangerBox 2 提高了分析速度,减少了计算机性能所需的资源,并提供了更多的分析方法,大大提高了研究效率。
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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 (http://vip.sangerbox.com) 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.

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