CelltrackR:用于快速灵活分析免疫细胞迁移数据的R包

Inge M.N. Wortel , Annie Y. Liu , Katharina Dannenberg , Jeffrey C. Berry , Mark J. Miller , Johannes Textor
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引用次数: 28

摘要

通过延时显微镜观察细胞迁移,大大提高了我们对免疫系统的认识。然而,迁移动态的细微差异很容易被偏见和成像伪影所掩盖。虽然已经提出了几种分析方法来解决这些问题,但目前还缺乏实现它们的集成工具。在这里,我们提出celltrackR,一个R包包含了一套最先进的(免疫)细胞轨迹分析方法。CelltrackR通过提供数据管理、质量控制、提取和可视化迁移统计、聚类跟踪和模拟细胞迁移的方法,支持完整的轨迹分析管道。CelltrackR支持2D和3D细胞轨迹的分析。CelltrackR是一个在GPL-2许可下发布的开源软件包,可以在GitHub和CRAN上免费获得。虽然这个包是专门为免疫细胞迁移数据设计的,但它的许多方法也将用于处理移动物体的其他研究领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

CelltrackR: An R package for fast and flexible analysis of immune cell migration data

CelltrackR: An R package for fast and flexible analysis of immune cell migration data

Visualization of cell migration via time-lapse microscopy has greatly advanced our understanding of the immune system. However, subtle differences in migration dynamics are easily obscured by biases and imaging artifacts. While several analysis methods have been suggested to address these issues, an integrated tool implementing them is currently lacking. Here, we present celltrackR, an R package containing a diverse set of state-of-the-art analysis methods for (immune) cell tracks. CelltrackR supports the complete pipeline for track analysis by providing methods for data management, quality control, extracting and visualizing migration statistics, clustering tracks, and simulating cell migration. CelltrackR supports the analysis of both 2D and 3D cell tracks. CelltrackR is an open-source package released under the GPL-2 license, and is freely available on both GitHub and CRAN. Although the package was designed specifically for immune cell migration data, many of its methods will also be of use in other research areas dealing with moving objects.

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来源期刊
Immunoinformatics (Amsterdam, Netherlands)
Immunoinformatics (Amsterdam, Netherlands) Immunology, Computer Science Applications
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