Literature DB >> 29983926

The Cytoscape Automation app article collection.

Barry Demchak1, David Otasek1, Alexander R Pico2, Gary D Bader3, Keiichiro Ono1, Brett Settle1, Eric Sage1, John H Morris4, William Longabaugh5, Christian Lopes3, Michael Kucera3, Adam Treister2, Benno Schwikowski6, Piet Molenaar7, Trey Ideker1.   

Abstract

Cytoscape is the premiere platform for interactive analysis, integration and visualization of network data. While Cytoscape itself delivers much basic functionality, it relies on community-written apps to deliver specialized functions and analyses. To date, Cytoscape's CyREST feature has allowed researchers to write workflows that call basic Cytoscape functions, but provides no access to its high value app-based functions. With Cytoscape Automation, workflows can now call apps that have been upgraded to expose their functionality. This article collection is a resource to assist readers in quickly and economically leveraging such apps in reproducible workflows that scale independently to large data sets and production runs.

Entities:  

Keywords:  App; Automation; Cytoscape; Network Analysis; Network Biology; Network Visualization

Year:  2018        PMID: 29983926      PMCID: PMC6013757          DOI: 10.12688/f1000research.15355.1

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


Editorial

Cytoscape is an open source software platform for interactive analysis, integration and visualization of networks and network data [1]. At heart, Cytoscape provides basic network analysis functionality (e.g., network import/export, network data analysis, visualization and layout) in a menu-driven desktop format. Most importantly, it also enables and encourages users to add extensions (called apps) that deliver custom features important for specific workflows (e.g., ClueGO [2] for enrichment analysis relative to various ontologies). To date, Cytoscape users can choose among over 330 apps written by over 550 authors. In 2014, the CyREST app [3] was created to allow external programs to exercise core Cytoscape functionality as part of custom workflows. By authoring such workflows in common languages (such as R and Python), users can combine the best features of Cytoscape with those available in language-specific libraries, thus creating new value much more quickly and cheaply than writing conventional Cytoscape apps. Furthermore, such workflows can more easily integrate external applications (e.g., GenePattern and iGraph) and multiple large datasets. Finally, external workflows enable reproducibility not available using Cytoscape’s standard mouse/keyboard/display interaction mode. In 2018, Cytoscape Automation was created to enable external workflows to also call functionality in apps. For an app to be callable, it must be upgraded to support automation via either a Commands or Functions interface. As of March, 2018, app authors upgraded and released 22 apps. This collection of Cytoscape app articles at F1000Research is intended to serve as a resource to researchers (as workflow authors) and app developers to understand the features and interfaces exposed by automation-enabled apps. They are written by the app authors themselves according to a template that calls for explaining newly available functions, how they can be called, and with real world examples. We intend that readers be able to quickly and economically incorporate Cytoscape app functionality as reproducible workflows that scale independently to large data sets and production runs.

Data availability

No data are associated with this article.
  3 in total

1.  The Cytoscape app article collection.

Authors:  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
Journal:  F1000Res       Date:  2014-07-01

2.  ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks.

Authors:  Gabriela Bindea; Bernhard Mlecnik; Hubert Hackl; Pornpimol Charoentong; Marie Tosolini; Amos Kirilovsky; Wolf-Herman Fridman; Franck Pagès; Zlatko Trajanoski; Jérôme Galon
Journal:  Bioinformatics       Date:  2009-02-23       Impact factor: 6.937

3.  CyREST: Turbocharging Cytoscape Access for External Tools via a RESTful API.

Authors:  Keiichiro Ono; Tanja Muetze; Georgi Kolishovski; Paul Shannon; Barry Demchak
Journal:  F1000Res       Date:  2015-08-05
  3 in total
  3 in total

1.  Exploring the mechanism of Shexiang Tongxin dropping pill in the treatment of microvascular angina through network pharmacology and molecular docking.

Authors:  Chen Chang; Yanling Ren; Qiang Su
Journal:  Ann Transl Med       Date:  2022-09

Review 2.  Intelligent host engineering for metabolic flux optimisation in biotechnology.

Authors:  Lachlan J Munro; Douglas B Kell
Journal:  Biochem J       Date:  2021-10-29       Impact factor: 3.857

3.  Exploring the mechanism of Buyang Huanwu Decoction in the treatment of spinal cord injury based on network pharmacology and molecular docking.

Authors:  Ying Wang; Haixu Chen; Junwei Wang; Xin Chen; Lan Chen
Journal:  Medicine (Baltimore)       Date:  2022-10-07       Impact factor: 1.817

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.