Literature DB >> 22155641

Hive plots--rational approach to visualizing networks.

Martin Krzywinski1, Inanc Birol, Steven J M Jones, Marco A Marra.   

Abstract

Networks are typically visualized with force-based or spectral layouts. These algorithms lack reproducibility and perceptual uniformity because they do not use a node coordinate system. The layouts can be difficult to interpret and are unsuitable for assessing differences in networks. To address these issues, we introduce hive plots (http://www.hiveplot.com) for generating informative, quantitative and comparable network layouts. Hive plots depict network structure transparently, are simple to understand and can be easily tuned to identify patterns of interest. The method is computationally straightforward, scales well and is amenable to a plugin for existing tools.

Mesh:

Year:  2011        PMID: 22155641     DOI: 10.1093/bib/bbr069

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  63 in total

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7.  Mapping eQTL networks with mixed graphical Markov models.

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Review 8.  Beyond modules and hubs: the potential of gene coexpression networks for investigating molecular mechanisms of complex brain disorders.

Authors:  C Gaiteri; Y Ding; B French; G C Tseng; E Sibille
Journal:  Genes Brain Behav       Date:  2013-12-10       Impact factor: 3.449

9.  Insight into the evolution of microbial metabolism from the deep-branching bacterium, Thermovibrio ammonificans.

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10.  A Multivariate Computational Method to Analyze High-Content RNAi Screening Data.

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Journal:  J Biomol Screen       Date:  2015-04-27
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