Cargando…

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...

Descripción completa

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
_version_ 1782354566027673600
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
work_keys_str_mv AT tayloravigail genenettoolboxformatlabaflexibleplatformfortheanalysisofgeneconnectivityinbiologicalnetworks
AT steinbergjulia genenettoolboxformatlabaflexibleplatformfortheanalysisofgeneconnectivityinbiologicalnetworks
AT andrewstallulahs genenettoolboxformatlabaflexibleplatformfortheanalysisofgeneconnectivityinbiologicalnetworks
AT webbercaleb genenettoolboxformatlabaflexibleplatformfortheanalysisofgeneconnectivityinbiologicalnetworks