Gaggle Chrome Goose

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

What is Gaggle Chrome Goose?

Gaggle Chrome Goose is a Chrome browser plugin that enables seamless integration of bioinformatics analysis scripts, visualization tools, and web resources. It allows for parsing web pages for gaggle data and interacting with other Gaggle Geese.

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Extension stats

View on Chrome Web Store

Users: 344 ▼ -31

Rating: 3.40 (5)

Version: 1.1.0.5 (Last updated: 2015-05-29)

Creation date: 2015-05-28

Risk impact: High risk impact

Risk likelihood: Low risk likelihood

Manifest version: 2

Permissions:

storage
tabs
http://*/*
https://*/*

Size: 609.28K

Ranking

# 45559 ▼ 660

Other rankings

#14776 in Workflow & Planning ▼ 146 #148 in package keyword 17 ▼ 1 #202 in define keyword 25 ▼ 2 #275 in analysis keyword 8 ▼ 7 #295 in resource keyword 9 ▼ 2

Other platforms

Not available on Firefox

Not available on Edge

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Extension summary

Analyze keywords

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.