Publication: Genome-scale mechanistic modeling of signaling pathways made easy: A bioconductor/cytoscape/web server framework for the analysis of omic data
dc.contributor.author | Rian, Kinza | |
dc.contributor.author | Hidalgo, Marta R. | |
dc.contributor.author | Çubuk, Cankut | |
dc.contributor.author | Falco, Matias M. | |
dc.contributor.author | Loucera, Carlos | |
dc.contributor.author | Esteban-Medina, Marina | |
dc.contributor.author | Alamo-Alvarez, Inmaculada | |
dc.contributor.author | Peña-Chilet, María | |
dc.contributor.author | Dopazo, Joaquín | |
dc.contributor.authoraffiliation | [Rian,K; Çubuk,C; Falco,MM; Loucera,C; Esteban-Medina,M; Alamo-Alvarez,I; Peña-Chilet,M; Dopazo,J] Clinical Bioinformatics Area, Fundación Progreso y Salud (FPS), Hospital Virgen del Rocío, Sevilla, Spain. [Rian,K] Laboratory of Innovative Technologies (LTI), National School of Applied Sciences in Tangier, UAE, Morocco. [Hidalgo,MR] Bioinformatics and Biostatistics Unit, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain. [Falco,MM; Peña-Chilet,M; Dopazo,J] Bioinformatics in RareDiseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Sevilla, Spain. [Loucera,C; Esteban-Medina,M; Alamo-Alvarez,I; Peña-Chilet,M; Dopazo,J] Computational Systems Medicine. Institute of Biomedicine of Seville (IBiS), Sevilla, Spain. [Dopazo,J] Functional Genomics Node (INB-ELIXIR-es), Sevilla, Spain. | |
dc.contributor.funder | This work is supported by grants SAF2017-88908-R from the Spanish Ministry of Economy and Competitiveness and PT17/0009/0006 and PI20/01305 from the ISCIII, both co-funded with European Regional Development Funds (ERDF) as well as H2020 Programme of the European Union grants Marie Curie Inno vative Training Network ‘‘Machine Learning Frontiers in Precision Medicine” (MLFPM) (GA 813533) and ‘‘ELIXIR-EXCELERATE fast track ELIXIR implementation and drive early user exploitation across the life sciences” (GA 676559) to JD. Funding for open access charge: from the Spanish Ministry of Economy and Competitive ness / SAF2017-88908-R | |
dc.date.accessioned | 2022-08-16T11:56:54Z | |
dc.date.available | 2022-08-16T11:56:54Z | |
dc.date.issued | 2021-05-15 | |
dc.description.abstract | Genome-scale mechanistic models of pathways are gaining importance for genomic data interpretation because they provide a natural link between genotype measurements (transcriptomics or genomics data) and the phenotype of the cell (its functional behavior). Moreover, mechanistic models can be used to predict the potential effect of interventions, including drug inhibitions. Here, we present the implementation of a mechanistic model of cell signaling for the interpretation of transcriptomic data as an R/Bioconductor package, a Cytoscape plugin and a web tool with enhanced functionality which includes building interpretable predictors, estimation of the effect of perturbations and assessment of the effect of mutations in complex scenarios. | en |
dc.description.version | Yes | es_ES |
dc.identifier.citation | Rian K, Hidalgo MR, Çubuk C, Falco MM, Loucera C, Esteban-Medina M, et al. Genome-scale mechanistic modeling of signaling pathways made easy: A bioconductor/cytoscape/web server framework for the analysis of omic data. Comput Struct Biotechnol J. 2021 May 15;19:2968-2978 | es_ES |
dc.identifier.doi | 10.1016/j.csbj.2021.05.022 | es_ES |
dc.identifier.essn | 2001-0370 | |
dc.identifier.pmc | PMC8170118 | |
dc.identifier.pmid | 34136096 | |
dc.identifier.uri | http://hdl.handle.net/10668/3908 | |
dc.journal.title | Computational and Structural Biotechnology Journal | |
dc.language.iso | en | |
dc.page.number | 11 p. | |
dc.publisher | Elsevier B.V | es_ES |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S2001037021002038 | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Signaling pathway | es_ES |
dc.subject | Mathematical modelling | es_ES |
dc.subject | Transcriptomic | es_ES |
dc.subject | Causality | es_ES |
dc.subject | Mutations | es_ES |
dc.subject | Sistema de señalización | es_ES |
dc.subject | Causalidad | es_ES |
dc.subject | Mutación | es_ES |
dc.subject.mesh | Medical Subject Headings::Phenomena and Processes::Genetic Phenomena::Genetic Processes::Gene Expression::Transcription, Genetic::Transcriptome | es_ES |
dc.subject.mesh | Medical Subject Headings::Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Genetics::Genomics | es_ES |
dc.subject.mesh | Medical Subject Headings::Phenomena and Processes::Genetic Phenomena::Phenotype | es_ES |
dc.subject.mesh | Medical Subject Headings::Phenomena and Processes::Genetic Phenomena::Genetic Variation::Mutation | es_ES |
dc.subject.mesh | Medical Subject Headings::Phenomena and Processes::Chemical Phenomena::Biochemical Phenomena::Biochemical Processes::Signal Transduction | es_ES |
dc.subject.mesh | Medical Subject Headings::Phenomena and Processes::Genetic Phenomena::Genotype | es_ES |
dc.title | Genome-scale mechanistic modeling of signaling pathways made easy: A bioconductor/cytoscape/web server framework for the analysis of omic data | en |
dc.type | research article | |
dc.type.hasVersion | VoR | |
dspace.entity.type | Publication |