The Cytoscape app article collection

نویسندگان

  • Alexander R Pico
  • Gary D Bader
  • Barry Demchak
  • Oriol Guitart Pla
  • Timothy Hull
  • William Longabaugh
  • Christian Lopes
  • Samad Lotia
  • Piet Molenaar
  • Jason Montojo
  • John H Morris
  • Keiichiro Ono
  • Benno Schwikowski
  • David Welker
  • Trey Ideker
چکیده

As a network visualization and analysis platform, Cytoscape relies on apps to provide domain-specific features and functions. There are many resources available to support Cytoscape app development and distribution, including the Cytoscape App Store and an online "cookbook" for app developers. This article collection is another resource to help researchers find out more about relevant Cytoscape apps and to provide app developers with useful implementation tips. The collection will grow over time as new Cytoscape apps are developed and published.

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منابع مشابه

BridgeDb app: unifying identifier mapping services for Cytoscape

The BridgeDb app for Cytoscape allows users to map and annotate identifiers of genes, proteins and metabolites in the context of biological networks. The app greatly simplifies the identifier mapping process in Cytoscape by providing a unified interface to different mapping resources and services. The app also provides a programming interface via Cytoscape Commands that can be utilized for iden...

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CoNet app : inference of biological association networks using

Here we present the Cytoscape app version of our association network inference tool CoNet. Though CoNet was developed with microbial community data from sequencing experiments in mind, it is designed to be generic and can detect associations in any data set where biological entities (such as genes, metabolites or species) have been observed repeatedly. The CoNet app supports Cytoscape 2.x and 3...

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enhancedGraphics: a Cytoscape app for enhanced node

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SCODE : A Cytoscape app for supervised complex detection in protein - protein interaction graphs

Protein complexes are groups of interacting proteins unified by a common biological function. Identifying complexes amid a network of thousands of interacting proteins poses a difficult computational challenge. Traditional approaches to this problem rely on clique-like topography in order to identify complexes. Supervised learning is an alternative approach that leverages real-valued data in or...

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عنوان ژورنال:

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2014