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The basic design concepts, features, and performance of LEMON are compared with similar software packages, namely BGL (Boost Graph Library) and LEDA.
After applying viewpoint space partitioning to the simplified models at different resolutions, we develop a multi-resolution aspect graph library indexed by observation distance.
Aware of the fact that graph operations is a core of chemoinformatics, FragmenT represents chemical structures by means of Functional Graph Library – a powerful tool for graph operations [2].
For the protein-protein interaction feature, pair-wise shortest path on the protein-protein interaction network was calculated using the Johnson Algorithm [76] as provided by the Boost Graph Library (www.boost.org/libs/graph/, http://search.cpan.org/perldoc Boost::Graph).
Reconstructed regulatory networks can be visualized by using the yFiles JAVA graph library.
Application of the yFiles JAVA graph library is restricted to academic users.
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The system relies on geometric and solid modeling as well as graph libraries to represent layouts and process operations.
Network analyses were carried out using Perl scripts and the Perl interface to the Boost Graph libraries which implement fast and peer-reviewed algorithms for graph analyses [30].
Charts and graphs were generated from query results using Python v2.7 and the ReportLab graphing library [Sanner, 1999].
For + models, the minimum-cost maximum flow is solved using the LEMON open source graph template library (Dezs et al., 2011) (The LEMON library uses integral cost values to solve the network flow resulting in a decrease in precision. It is noted that experiments were run to permit precision to five decimal places and had little effect on the results).
The spectrogram dataset was built using a combination of open source graph generation library Pylab and various open source image processing libraries.
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