ggPlantmap:一个开源的R包,用于创建从植物图像获得的信息和定量ggplot地图
1Experimental and Computational Plant Development, Institute of Environment Biology, Utrecht University, Utrecht, The Netherlands.
Journal of experimental botany
|February 8, 2024
概括
植物生物学家现在可以使用ggPlantmap,一个开源的R包,轻松创建自定义的基因表达图. 该工具简化了空间定量数据的可视化,增强了植物发展和功能的探索.
科学领域:
- 植物生物学 植物生物学
- 生物信息学是一种生物信息学.
- 数据可视化 数据可视化
背景情况:
- 植物研究产生大量的空间定量数据.
- 像Plant eFP 浏览器这样的现有工具是有价值的,但缺乏对个人数据集的用户友好定制.
- 植物科学家,特别是那些编码经验有限的人,需要可访问的数据可视化方法.
研究的目的:
- 介绍ggPlantmap,一个开源的R包,用于从植物图像创建定制的基因表达图.
- 为植物生物学家提供一个易于使用的工具来可视化他们自己的空间定量数据.
- 授权研究人员创建适合其特定实验数据的eFP类观众.
主要方法:
- 开发ggPlantmap作为一个R包.
- 使用ggplot从植物图像创建代表性地图.
- 为那些拥有R编程经验最小的用户提供教程.
主要成果:
- ggPlantmap提供了一个用户友好的界面,用于生成定制的表达式地图.
- 该包是用R语言构建的,R是生物研究中广泛使用的语言.
- 教程确保不同级别的R熟练程度的用户可以访问.
结论:
- ggPlantmap解决了植物科学中可访问的空间数据可视化的需求.
- 该软件包有助于创建定制的eFP类观看器,促进创新.
- 它旨在通过增强的数据探索来提高对植物发育和功能的理解.
更多相关视频
09:57Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
Published on: December 16, 2014
13.0K
08:47Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
Published on: February 9, 2024
1.4K
相关概念视频
02:16Light Acquisition
8.5K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K
01:29Plotting of Topographic Maps
47
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
47