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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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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 |
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author | Taylor, Avigail Steinberg, Julia Andrews, Tallulah S. Webber, Caleb |
author_facet | Taylor, Avigail Steinberg, Julia Andrews, Tallulah S. Webber, Caleb |
author_sort | Taylor, Avigail |
collection | PubMed |
description | 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 |
format | Online Article Text |
id | pubmed-4308667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43086672015-02-24 GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks Taylor, Avigail Steinberg, Julia Andrews, Tallulah S. Webber, Caleb Bioinformatics Applications Notes 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 Oxford University Press 2015-02-01 2014-10-14 /pmc/articles/PMC4308667/ /pubmed/25319962 http://dx.doi.org/10.1093/bioinformatics/btu669 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Taylor, Avigail Steinberg, Julia Andrews, Tallulah S. Webber, Caleb GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks |
title | GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks |
title_full | GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks |
title_fullStr | GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks |
title_full_unstemmed | GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks |
title_short | GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks |
title_sort | genenet toolbox for matlab: a flexible platform for the analysis of gene connectivity in biological networks |
topic | Applications Notes |
url | 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 |
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