He Shuang, Dong Wei, Chen Junhao, Zhang Junyu, Lin Weiwei, Yang Shuting, Xu Dong, Zhou Yuhan, Miao Benben, Wang Wenquan, Chen Fei
Sanya Institute of Breeding and Multiplication, National Key Laboratory for Tropical Crop Breeding, Hainan University, Sanya 572025, China.
School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
Hortic Res. 2023 Dec 21;11(2):uhad273. doi: 10.1093/hr/uhad273. eCollection 2024 Feb.
In the era of rapid advancements in high-throughput omics technologies, the visualization of diverse data types with varying orders of magnitude presents a pressing challenge. To bridge this gap, we introduce DataColor, an all-encompassing software solution meticulously crafted to address this challenge. Our aim is to empower users with the ability to handle a wide array of data types through an assortment of tools, while simultaneously streamlining parameter selection for rapid insights and detailed enhancements. DataColor stands as a robust toolkit, encompassing 23 distinct tools coupled with over 600 parameters. The defining characteristic of this toolkit is its adept utilization of the color spectrum, allowing for the representation of data spanning diverse types and magnitudes. Through the integration of advanced algorithms encompassing data clustering, normalization, squarified layouts, and customizable parameters, DataColor unveils an abundance of insights that lay hidden within the intricate relationships embedded in the data. Whether you find yourself navigating the analysis of expansive datasets or embarking on the quest to visualize intricate patterns, DataColor stands as the comprehensive and potent solution. We extend the availability of DataColor to all users at no cost, accessible through the following link: https://github.com/frankgenome/DataColor.
在高通量组学技术飞速发展的时代，可视化具有不同数量级的各种数据类型带来了紧迫的挑战。为了弥合这一差距，我们推出了DataColor，这是一个精心打造的全方位软件解决方案，旨在应对这一挑战。我们的目标是让用户能够通过各种工具处理广泛的数据类型，同时简化参数选择以实现快速洞察和详细增强。DataColor是一个强大的工具包，包含23个不同的工具以及600多个参数。该工具包的显著特点是善于利用色谱，能够呈现各种类型和数量级的数据。通过集成包括数据聚类、归一化、平方化布局和可定制参数在内的先进算法，DataColor揭示了隐藏在数据复杂关系中的大量见解。无论你是在处理大型数据集的分析，还是在探索可视化复杂模式，DataColor都是全面而强大的解决方案。我们向所有用户免费提供DataColor，可通过以下链接访问：https://github.com/frankgenome/DataColor。
