Gaggle Chrome Goose

生产工具插件用户量: 632大小: 595KiB版本: v 1.1.0.5更新时间: 2021-12-21
用户量:632大小:595KiB版本:v 1.1.0.5更新时间:2021-12-21

Parse web pages for gaggle data and interact with other Gaggle Geese

Gaggle Chrome Goose 的使用方法详解,最全面的教程


Gaggle Chrome Goose 描述:

用户数:632

分类:生产工具插件

扩展大小:595 KiB

最后更新时间:2021-12-21

版本:v 1.1.0.5


Gaggle Chrome Goose 插件简介:

这是来自Chrome商店的 Gaggle Chrome Goose 浏览器插件,您可以在当前页面下载它的最新版本安装文件,并安装在Chrome、Edge等浏览器上。


Gaggle Chrome Goose插件下载方法/流程:

点击下载按钮,关注“扩展迷Extfans”公众号并获取验证码,在网页弹窗中输入验证码,即可下载最新安装文件。


Gaggle Chrome Goose插件安装教程/方法:

(1)将扩展迷上下载的安装包文件(.zip)解压为文件夹,其中类型为“crx”的文件就是接下来需要用到的安装文件

(2) 从设置->更多工具->扩展程序 打开扩展程序页面,或者地址栏输入 Chrome://extensions/ 按下回车打开扩展程序页面

(3) 打开扩展程序页面的“开发者模式”

(4) 将crx文件拖拽到扩展程序页面,

完成安装如有其它安装问题,

请扫描网站底部二维码与客服联系如有疑问请参考:

https://www.extfans.com/installation/
ChromeGoose is a Chrome browser plugin for integration of bioinformatics analysis scripts, visualization tools and desktop and web resources by enabling seamless data exchange between all the components. Analysis of the most biological data types require different desktop analysis software such as Cytoscape, MeV, R, web resources such as NCBI Entrez, EMBL String and custom scripts for manipulating, analyzing and visualizing the data. ChromeGoose provides a unified framework for leveraging the power of all these components by connecting them through well-define data-types. These data types include NameList, Matrix, Tuple and Network that were defined previously by the Gaggle framework. Various desktop analysis packages, web resources and custom scripts are easily plugged into ChromeGoose architecture and all data incompatibility issues are avoided. Current implementation of the ChromeGoose integrates connectivity between Chrome, Cytoscape, MeV and R. In addition based on the OpenCPU package, any R scripts can be plugged into this framework with minimal effort. We have already implemented three R scripts for custom analysis of regulatory network models including data plotting, filtering and performing enrichment analysis. ChromeGoose is developed by the Baliga Lab at Institute for Systems Biology.

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