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You may also take a look at the source code.
The networks in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["malaria_genes/HVR_1"]
(and likewise for the other networks available.)

malaria_genes — Malaria var DBLa HVR networks

Description

Networks of recombinant antigen genes from the human malaria parasite P. falciparum. Each of the 9 networks shares the same set of vertices but has different edges, corresponding to the 9 highly variable regions (HVRs) in the DBLa domain of the var protein. Nodes are var genes, and two genes are connected if they share a substring whose length is statistically significant. Metadata includes two types of node labels, both based on sequence structure around HVR6.1


  1. Description obtained from the ICON project. ↩

Tags
Biological Genetic Unweighted Projection Metadata Multilayer
Citation
Upstream URL OK
https://github.com/dblarremore/data_malaria_PLOSCompBiology_2013
Networks
Tip: click on the table header to sort the list. Hover your mouse over it to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
HVR_1 307 2,812 18.32 11.05 35.20 76.31 0.60 0.59 8 1.00 Undirected Unipartite name CysPoLV UPS 8 KiB 15 KiB 13 KiB 12 KiB
HVR_2 307 1,446 9.42 7.43 22.87 73.31 0.73 0.78 9 0.36 Undirected Unipartite name CysPoLV UPS 7 KiB 12 KiB 10 KiB 9 KiB
HVR_3 307 659 4.29 4.29 15.79 10.48 0.98 0.97 5 0.06 Undirected Unipartite name CysPoLV UPS 7 KiB 10 KiB 9 KiB 8 KiB
HVR_4 307 1,214 7.91 6.69 17.51 91.92 0.69 0.73 10 0.60 Undirected Unipartite name CysPoLV UPS 7 KiB 12 KiB 10 KiB 9 KiB
HVR_5 307 2,684 17.49 11.20 25.86 46.45 0.33 0.36 11 0.97 Undirected Unipartite name CysPoLV UPS 9 KiB 16 KiB 14 KiB 12 KiB
HVR_6 307 3,263 21.26 15.78 39.10 62.46 0.64 0.54 10 0.95 Undirected Unipartite name CysPoLV UPS 9 KiB 17 KiB 14 KiB 13 KiB
HVR_7 307 11,688 76.14 36.86 98.57 11.89 0.35 0.64 5 1.00 Undirected Unipartite name CysPoLV UPS 9 KiB 39 KiB 36 KiB 32 KiB
HVR_8 307 3,961 25.80 23.37 53.69 50.43 0.66 0.67 11 0.89 Undirected Unipartite name CysPoLV UPS 8 KiB 18 KiB 16 KiB 15 KiB
HVR_9 307 7,579 49.37 32.06 79.04 5.38 0.48 0.61 5 0.97 Undirected Unipartite name CysPoLV UPS 9 KiB 28 KiB 26 KiB 23 KiB
combined 307 35,306 230.01 92.95 159.41 2.34 0.35 0.71 3 1.00 Undirected Unipartite name CysPoLV UPS HRV 25 KiB 104 KiB 94 KiB 90 KiB
Ridiculograms*
HVR_1 drawing
HVR_1
HVR_2 drawing
HVR_2
HVR_3 drawing
HVR_3
HVR_4 drawing
HVR_4
HVR_5 drawing
HVR_5
HVR_6 drawing
HVR_6
HVR_7 drawing
HVR_7
HVR_8 drawing
HVR_8
HVR_9 drawing
HVR_9
combined drawing
combined
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.