TIBA: A web application for the visual analysis of temporal occurrences, interactions, and transitions of animal behavior.

IF 3.8 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2024-10-25 eCollection Date: 2024-10-01 DOI:10.1371/journal.pcbi.1012425

Nicolai Kraus, Michael Aichem, Karsten Klein, Etienne Lein, Alex Jordan, Falk Schreiber

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Abstract

Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. Exploring and analyzing such large data sets can be challenging without tools to visualize behavioral interactions between individuals or transitions between behavioral states, yet software that can adequately visualize complex behavioral data sets is rare. TIBA (The Interactive Behavior Analyzer) is a web application for behavioral data visualization, which provides a series of interactive visualizations, including the temporal occurrences of behavioral events, the number and direction of interactions between individuals, the behavioral transitions and their respective transitional frequencies, as well as the visual and algorithmic comparison of the latter across data sets. It can therefore be applied to visualize behavior across individuals, species, or contexts. Several filtering options (selection of behaviors and individuals) together with options to set node and edge properties (in the network drawings) allow for interactive customization of the output drawings, which can also be downloaded afterwards. TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. The web application and usage instructions are available at tiba.inf.uni-konstanz.de. The source code is publicly available on GitHub: github.com/LSI-UniKonstanz/tiba.

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TIBA：用于对动物行为的时间发生、互动和转换进行可视化分析的网络应用程序。

行为研究中的数据通常通过事件记录软件进行量化，生成包含受试者、接受者和行为持续时间等详细信息的大型数据集。如果没有可视化个体间行为交互或行为状态间转换的工具，探索和分析此类大型数据集就会变得非常困难，然而能够充分可视化复杂行为数据集的软件却非常罕见。TIBA（The Interactive Behavior Analyzer）是一个行为数据可视化的网络应用程序，它提供了一系列交互式可视化功能，包括行为事件的时间发生率、个体间互动的数量和方向、行为转换及其各自的转换频率，以及在不同数据集之间对后者进行可视化和算法比较。因此，它可用于跨个体、物种或环境的行为可视化。多个过滤选项（选择行为和个体）以及设置节点和边缘属性（在网络图中）的选项允许对输出图进行交互式定制，之后还可以下载这些输出图。TIBA 可接受流行日志软件的数据输出，并以 Python 和 JavaScript 实现，支持当前所有浏览器。网络应用程序和使用说明请访问 tiba.inf.uni-konstanz.de。源代码可在 GitHub 上公开获取：github.com/LSI-Uni-Konstanz/tiba。

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来源期刊

PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY

CiteScore

7.10

自引率

4.70%

发文量

820

审稿时长

2.5 months

期刊介绍： PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.