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GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks

Summary: We present GeneNet Toolbox for MATLAB (also available as a set of standalone applications for Linux). The toolbox, available as command-line or with a graphical user interface, enables biologists to assess connectivity among a set of genes of interest (‘seed-genes’) within a biological netw...

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Detalles Bibliográficos
Autores principales: Taylor, Avigail, Steinberg, Julia, Andrews, Tallulah S., Webber, Caleb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4308667/
https://www.ncbi.nlm.nih.gov/pubmed/25319962
http://dx.doi.org/10.1093/bioinformatics/btu669
Descripción
Sumario:Summary: We present GeneNet Toolbox for MATLAB (also available as a set of standalone applications for Linux). The toolbox, available as command-line or with a graphical user interface, enables biologists to assess connectivity among a set of genes of interest (‘seed-genes’) within a biological network of their choosing. Two methods are implemented for calculating the significance of connectivity among seed-genes: ‘seed randomization’ and ‘network permutation’. Options include restricting analyses to a specified subnetwork of the primary biological network, and calculating connectivity from the seed-genes to a second set of interesting genes. Pre-analysis tools help the user choose the best connectivity-analysis algorithm for their network. The toolbox also enables visualization of the connections among seed-genes. GeneNet Toolbox functions execute in reasonable time for very large networks (∼10 million edges) on a desktop computer. Availability and implementation: GeneNet Toolbox is open source and freely available from http://avigailtaylor.github.io/gntat14. Supplementary information: Supplementary data are available at Bioinformatics online. Contact: avigail.taylor@dpag.ox.ac.uk