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MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data

MetaReg http://acgt.cs.tau.ac.il/metareg/application.html is a computational tool that models cellular networks and integrates experimental results with such models. MetaReg represents established knowledge about a biological system, available today mostly in informal form in the literature, as prob...

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Detalles Bibliográficos
Autores principales: Ulitsky, Igor, Gat-Viks, Irit, Shamir, Ron
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2395235/
https://www.ncbi.nlm.nih.gov/pubmed/18171474
http://dx.doi.org/10.1186/gb-2008-9-1-r1
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author Ulitsky, Igor
Gat-Viks, Irit
Shamir, Ron
author_facet Ulitsky, Igor
Gat-Viks, Irit
Shamir, Ron
author_sort Ulitsky, Igor
collection PubMed
description MetaReg http://acgt.cs.tau.ac.il/metareg/application.html is a computational tool that models cellular networks and integrates experimental results with such models. MetaReg represents established knowledge about a biological system, available today mostly in informal form in the literature, as probabilistic network models with underlying combinatorial regulatory logic. MetaReg enables contrasting predictions with measurements, model improvements and studying what-if scenarios. By summarizing prior knowledge and providing visual and computational aids, it helps the expert explore and understand her system better.
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spelling pubmed-23952352008-05-29 MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data Ulitsky, Igor Gat-Viks, Irit Shamir, Ron Genome Biol Software MetaReg http://acgt.cs.tau.ac.il/metareg/application.html is a computational tool that models cellular networks and integrates experimental results with such models. MetaReg represents established knowledge about a biological system, available today mostly in informal form in the literature, as probabilistic network models with underlying combinatorial regulatory logic. MetaReg enables contrasting predictions with measurements, model improvements and studying what-if scenarios. By summarizing prior knowledge and providing visual and computational aids, it helps the expert explore and understand her system better. BioMed Central 2008-01-02 /pmc/articles/PMC2395235/ /pubmed/18171474 http://dx.doi.org/10.1186/gb-2008-9-1-r1 Text en Copyright © 2008 Ulitsky et al.; licensee BioMed Central Ltd. https://creativecommons.org/licenses/by/2.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Ulitsky, Igor
Gat-Viks, Irit
Shamir, Ron
MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data
title MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data
title_full MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data
title_fullStr MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data
title_full_unstemmed MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data
title_short MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data
title_sort metareg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2395235/
https://www.ncbi.nlm.nih.gov/pubmed/18171474
http://dx.doi.org/10.1186/gb-2008-9-1-r1
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