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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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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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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. |
format | Text |
id | pubmed-2395235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ulitskyigor metaregaplatformformodelinganalysisandvisualizationofbiologicalsystemsusinglargescaleexperimentaldata AT gatviksirit metaregaplatformformodelinganalysisandvisualizationofbiologicalsystemsusinglargescaleexperimentaldata AT shamirron metaregaplatformformodelinganalysisandvisualizationofbiologicalsystemsusinglargescaleexperimentaldata |