Identification of driver nodes between case-control association networks
The combined effect of mutual associations within the co-inhabiting microbes in human body is known to play a major role in determining our health status. The differential taxonomic abundance between a healthy and disease state are often used to identify microbial markers. However, in order to make a microbial community based inference, it is important not only to consider microbial abundances, but also quantify the changes observed among inter microbial associations. We introduce a method called ‘NetShift’ to visualize community shufflings in microbial association networks between healthy and diseased states and identify 'driver' nodes observed between the states. The ‘NetShift’ web server allows easy visual analysis of ‘case’ and ‘control’ microbial association networks requiring users to simply upload the corresponding networks as edge lists. All results are presented as user friendly and interactive charts/tables allowing easy biological inferences. A summary of the algorithm is shown in the figures below.
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Kuntal, B.K., Chandrakar, P., Sadhu, S. et al. ‘NetShift’: a methodology for understanding ‘driver microbes’ from healthy and disease microbiome datasets. ISME J 13, 442–454 (2019). https://doi.org/10.1038/s41396-018-0291-x
Compare multiple networks (standalone) : CompNet
Compare multi state networks (web based) : NetConfer
Venn diagram based fast network comparison (web based): NetSets
Time series microbiome data analysis (web based): TIME
Model microbiome time series data (web based): Web-gLV
Microbiome community network analysis (standalone): Community-Analyzer
Visualize multivariate data without feature decomposition (web based): Igloo-plot
"NETSHIFT" SOFTWARE TOOL IS NOT INTENDED TO BE USED FOR TREATING OR DIAGNOSING HUMAN SUBJECTS.
"NETSHIFT" or any documents available from this server ARE PROVIDED AS IS WITHOUT ANY WARRANTY OF ANY KIND, EITHER EXPRESS, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND FREEDOM FROM INFRINGEMENT, OR THAT "NETSHIFT" or any documents available from this server WILL BE ERROR FREE.
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The authors will try their best to maintain the privacy and confidentiality of the uploaded user data and will not use the data for any work directly or indirectly except for software debugging purpose.