Difference between revisions of "Template:Article of the week"

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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Bekker JofCheminformatics2016 8-1.gif|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Bekker JofCheminformatics2016 8-1.gif|240px]]</div>
'''"[[Journal:Molmil: A molecular viewer for the PDB and beyond|Molmil: A molecular viewer for the PDB and beyond]]"'''
'''"[[Journal:VennDiagramWeb: A web application for the generation of highly customizable Venn and Euler diagrams|VennDiagramWeb: A web application for the generation of highly customizable Venn and Euler diagrams]]"'''


Molecular viewers are a vital tool for our understanding of protein structures and functions. The shift from regular desktop platforms such as Windows, Mac OSX and Linux to mobile platforms such as iOS and Android in the last half-decade, however, prevents traditional online molecular viewers such as PDBj’s previously developed jV and the popular Jmol from running on these new platforms as these platforms do not support Java Applets. For mobile platforms a native application (i.e., an application specifically designed and optimized for each of these platforms) can be created and distributed via their respective application stores. However, with new platforms on the horizon, or already available, in addition to the already established desktop platforms, it would be a tedious and inefficient job to make a molecular viewer available on all platforms, current and future. ('''[[Journal:Molmil: A molecular viewer for the PDB and beyond|Full article...]]''')<br />
Visualization of data generated by high-throughput, high-dimensionality experiments is rapidly becoming a rate-limiting step in [[Computational informatics|computational biology]]. There is an ongoing need to quickly develop high-quality visualizations that can be easily customized or incorporated into automated pipelines. This often requires an interface for manual plot modification, rapid cycles of tweaking visualization parameters, and the generation of graphics code. To facilitate this process for the generation of highly-customizable, high-resolution Venn and Euler diagrams, we introduce ''VennDiagramWeb'': a web application for the widely used VennDiagram R package. ''VennDiagramWeb'' allows real-time modification of Venn and Euler diagrams, with parameter setting through a web interface and immediate visualization of results. It allows customization of essentially all aspects of figures, but also supports integration into computational pipelines via download of [[R (programming language)|R code]]. Users can upload data and download figures in a range of formats, and there is exhaustive support documentation. ('''[[Journal:VennDiagramWeb: A web application for the generation of highly customizable Venn and Euler diagrams|Full article...]]''')<br />
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''Recently featured'':  
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Revision as of 17:31, 12 December 2016

Fig2 Bekker JofCheminformatics2016 8-1.gif

"VennDiagramWeb: A web application for the generation of highly customizable Venn and Euler diagrams"

Visualization of data generated by high-throughput, high-dimensionality experiments is rapidly becoming a rate-limiting step in computational biology. There is an ongoing need to quickly develop high-quality visualizations that can be easily customized or incorporated into automated pipelines. This often requires an interface for manual plot modification, rapid cycles of tweaking visualization parameters, and the generation of graphics code. To facilitate this process for the generation of highly-customizable, high-resolution Venn and Euler diagrams, we introduce VennDiagramWeb: a web application for the widely used VennDiagram R package. VennDiagramWeb allows real-time modification of Venn and Euler diagrams, with parameter setting through a web interface and immediate visualization of results. It allows customization of essentially all aspects of figures, but also supports integration into computational pipelines via download of R code. Users can upload data and download figures in a range of formats, and there is exhaustive support documentation. (Full article...)

Recently featured:

Molmil: A molecular viewer for the PDB and beyond
Smart electronic laboratory notebooks for the NIST research environment
Making the leap from research laboratory to clinic: Challenges and opportunities for next-generation sequencing in infectious disease diagnostics