Michigan State University, Biochemistry and Molecular Biology, East Lansing, MI 48824, USA.
University of Southern California, Department of Physics and Astronomy, Los Angeles, CA, 90089, USA.
Sci Rep. 2016 Nov 24;6:37237. doi: 10.1038/srep37237.
Multiple omics data are rapidly becoming available, necessitating the use of new methods to integrate different technologies and interpret the results arising from multimodal assaying. The MathIOmica package for Mathematica provides one of the first extensive introductions to the use of the Wolfram Language to tackle such problems in bioinformatics. The package particularly addresses the necessity to integrate multiple omics information arising from dynamic profiling in a personalized medicine approach. It provides multiple tools to facilitate bioinformatics analysis, including importing data, annotating datasets, tracking missing values, normalizing data, clustering and visualizing the classification of data, carrying out annotation and enumeration of ontology memberships and pathway analysis. We anticipate MathIOmica to not only help in the creation of new bioinformatics tools, but also in promoting interdisciplinary investigations, particularly from researchers in mathematical, physical science and engineering fields transitioning into genomics, bioinformatics and omics data integration.
多种组学数据正在迅速涌现，这就需要使用新的方法来整合不同的技术并解释多模式分析产生的结果。Mathematica 中的 MathIOmica 软件包为使用 Wolfram 语言解决此类生物信息学问题提供了最早的综合介绍之一。该软件包特别针对在个性化医疗方法中整合来自动态分析的多种组学信息的必要性。它提供了多个工具来促进生物信息学分析，包括导入数据、注释数据集、跟踪缺失值、数据标准化、聚类和可视化数据分类、进行注释和枚举本体成员和通路分析。我们预计 MathIOmica 不仅有助于创建新的生物信息学工具，而且还有助于促进跨学科研究，特别是来自数学、物理科学和工程领域的研究人员过渡到基因组学、生物信息学和组学数据整合领域。
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