Ryan Michael C, Stucky Mark, Wakefield Chris, Melott James M, Akbani Rehan, Weinstein John N, Broom Bradley M
In Silico Solutions, Fairfax, VA, 22031, USA.
Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
F1000Res. 2019 Oct 14;8. doi: 10.12688/f1000research.20590.2. eCollection 2019.
Clustered heat maps are the most frequently used graphics for visualization and interpretation of genome-scale molecular profiling data in biology. Construction of a heat map generally requires the assistance of a biostatistician or bioinformatics analyst capable of working in R or a similar programming language to transform the study data, perform hierarchical clustering, and generate the heat map. Our web-based Interactive Heat Map Builder can be used by investigators with no bioinformatics experience to generate high-caliber, publication quality maps. Preparation of the data and construction of a heat map is rarely a simple linear process. Our tool allows a user to move back and forth iteratively through the various stages of map generation to try different options and approaches. Finally, the heat map the builder creates is available in several forms, including an interactive Next-Generation Clustered Heat Map that can be explored dynamically to investigate the results more fully.
聚类热图是生物学中用于可视化和解释基因组规模分子谱数据最常用的图形。构建热图通常需要能够使用R或类似编程语言的生物统计学家或生物信息学分析师的协助,以转换研究数据、进行层次聚类并生成热图。我们基于网络的交互式热图构建器可供没有生物信息学经验的研究人员使用,以生成高质量、可用于发表的图谱。数据准备和热图构建很少是一个简单的线性过程。我们的工具允许用户在图谱生成的各个阶段之间反复来回操作,以尝试不同的选项和方法。最后,构建器创建的热图有多种形式可供使用,包括交互式下一代聚类热图,可动态探索以更全面地研究结果。