Literature DB >> 32516383

ccNetViz: a WebGL-based JavaScript library for visualization of large networks.

Ales Saska1, David Tichy1, Robert Moore1, Achilles Rasquinha1, Caner Akdas1, Xiaodong Zhao1, Renato Fabbri1, Ana Jeličić2, Gaurav Grover3, Himanshu Jotwani1, Mohamed Shadab1, Resa M Helikar1, Tomáš Helikar1.   

Abstract

SUMMARY: Visualizing a network provides a concise and practical understanding of the information it represents. Open-source web-based libraries help accelerate the creation of biologically based networks and their use. ccNetViz is an open-source, high speed and lightweight JavaScript library for visualization of large and complex networks. It implements customization and analytical features for easy network interpretation. These features include edge and node animations, which illustrate the flow of information through a network as well as node statistics. Properties can be defined a priori or dynamically imported from models and simulations. ccNetViz is thus a network visualization library particularly suited for systems biology.
AVAILABILITY AND IMPLEMENTATION: The ccNetViz library, demos and documentation are freely available at http://helikarlab.github.io/ccNetViz/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2020        PMID: 32516383      PMCID: PMC7575046          DOI: 10.1093/bioinformatics/btaa559

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  6 in total

1.  The Systems Biology Graphical Notation.

Authors:  Nicolas Le Novère; Michael Hucka; Huaiyu Mi; Stuart Moodie; Falk Schreiber; Anatoly Sorokin; Emek Demir; Katja Wegner; Mirit I Aladjem; Sarala M Wimalaratne; Frank T Bergman; Ralph Gauges; Peter Ghazal; Hideya Kawaji; Lu Li; Yukiko Matsuoka; Alice Villéger; Sarah E Boyd; Laurence Calzone; Melanie Courtot; Ugur Dogrusoz; Tom C Freeman; Akira Funahashi; Samik Ghosh; Akiya Jouraku; Sohyoung Kim; Fedor Kolpakov; Augustin Luna; Sven Sahle; Esther Schmidt; Steven Watterson; Guanming Wu; Igor Goryanin; Douglas B Kell; Chris Sander; Herbert Sauro; Jacky L Snoep; Kurt Kohn; Hiroaki Kitano
Journal:  Nat Biotechnol       Date:  2009-08-07       Impact factor: 54.908

2.  The complete genome sequence of Escherichia coli K-12.

Authors:  F R Blattner; G Plunkett; C A Bloch; N T Perna; V Burland; M Riley; J Collado-Vides; J D Glasner; C K Rode; G F Mayhew; J Gregor; N W Davis; H A Kirkpatrick; M A Goeden; D J Rose; B Mau; Y Shao
Journal:  Science       Date:  1997-09-05       Impact factor: 47.728

3.  The Cell Collective: toward an open and collaborative approach to systems biology.

Authors:  Tomáš Helikar; Bryan Kowal; Sean McClenathan; Mitchell Bruckner; Thaine Rowley; Alex Madrahimov; Ben Wicks; Manish Shrestha; Kahani Limbu; Jim A Rogers
Journal:  BMC Syst Biol       Date:  2012-08-07

4.  HIPPIE v2.0: enhancing meaningfulness and reliability of protein-protein interaction networks.

Authors:  Gregorio Alanis-Lobato; Miguel A Andrade-Navarro; Martin H Schaefer
Journal:  Nucleic Acids Res       Date:  2016-10-24       Impact factor: 16.971

5.  Using deep learning to model the hierarchical structure and function of a cell.

Authors:  Jianzhu Ma; Michael Ku Yu; Samson Fong; Keiichiro Ono; Eric Sage; Barry Demchak; Roded Sharan; Trey Ideker
Journal:  Nat Methods       Date:  2018-03-05       Impact factor: 28.547

6.  Cytoscape.js: a graph theory library for visualisation and analysis.

Authors:  Max Franz; Christian T Lopes; Gerardo Huck; Yue Dong; Onur Sumer; Gary D Bader
Journal:  Bioinformatics       Date:  2015-09-28       Impact factor: 6.937

  6 in total

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