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Vasily Grinev
Dmitry Kushal
Vitaly Charapovich


Summary: A simple-to-use Java-based software package CelNetAnalyzer was developed. CelNetAnalyzer is managed through a graphical user interface and it returns a comprehensive list of the topological indices including compositional complexity, degree and neighbourhood, clustering, distance, centrality and heterogeneity indices as well as simple cycles and Shannon information entropy of undirected networks. Comparative studies have shown that due to parallelization and use of enhanced and newly developed algorithms, CelNetAnalyzer calculates these parameters significantly faster than competitors.

Availability and Implementation: CelNetAnalyzer is an open-source project and free distributed for non-commercial use. Software package, source code, test network and the results of the topological analysis can be downloaded from website of the Department of Genetics at Belarusian State University (http://bio.bsu.by/genetics/grinev_software.html).

Supplementary information: Supplementary data are available at Journal of Bioinformatics and Genomics online

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How to Cite
GRINEV, Vasily; KUSHAL, Dmitry; CHARAPOVICH, Vitaly. CELNETANALYZER: HIGH-PERFORMANCE JAVA PACKAGE FOR THE TOPOLOGICAL ANALYSIS OF CELLULAR NETWORKS. Journal of Bioinformatics and Genomics, [S.l.], n. 1 (3), may 2017. ISSN 2530-1381. Available at: <http://journal-biogen.org/article/view/53>. Date accessed: 23 may 2019. doi: http://dx.doi.org/10.18454/jbg.2017.1.3.3.
Novel computational tools and databases
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