Genome-scale mechanistic modeling of signaling pathways made easy: A bioconductor/cytoscape/web server framework for the analysis of omic data


Por: K. RIAN, M. HIDALGO, C. CUBUK, M. FALCO, C. LOUCERA, M. ESTEBAN-MEDINA, I. ALAMO-ALVAREZ, M. PENA-CHILET and J. DOPAZO

Publicada: 1 ene 2021 Ahead of Print: 1 may 2021
Resumen:
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. (C) 2021 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.

Filiaciones:
K. RIAN:
 Hosp Virgen Rocio, Fdn Progreso & Salud FPS, Clin Bioinformat Area, Seville 41013, Spain

 Natl Sch Appl Sci Tangier, Lab Innovat Technol LTI, Tangier, Morocco

:
 Ctr Invest Principe Felipe CIPF, Bioinformat & Biostat Unit, Valencia 46012, Spain

C. CUBUK:
 Hosp Virgen Rocio, Fdn Progreso & Salud FPS, Clin Bioinformat Area, Seville 41013, Spain

 Inst Canc Res, Div Genet & Epidemiol, London SW7 3RP, England

M. FALCO:
 Hosp Virgen Rocio, Fdn Progreso & Salud FPS, Clin Bioinformat Area, Seville 41013, Spain

 Ctr Invest Biomed Red Enfermedades Raras CIBERER, Bioinformat Rare Dis BiER, Seville 41013, Spain

 Univ Helsinki Biomed, ONCOSYS Res Program, Helsinki 1 Haartmaninkatu 8, FI-00290 Helsinki, Finland

C. LOUCERA:
 Hosp Virgen Rocio, Fdn Progreso & Salud FPS, Clin Bioinformat Area, Seville 41013, Spain

 Inst Biomed Seville IBiS, Computat Syst Med, Seville 41013, Spain

M. ESTEBAN-MEDINA:
 Hosp Virgen Rocio, Fdn Progreso & Salud FPS, Clin Bioinformat Area, Seville 41013, Spain

 Inst Biomed Seville IBiS, Computat Syst Med, Seville 41013, Spain

I. ALAMO-ALVAREZ:
 Hosp Virgen Rocio, Fdn Progreso & Salud FPS, Clin Bioinformat Area, Seville 41013, Spain

 Inst Biomed Seville IBiS, Computat Syst Med, Seville 41013, Spain

M. PENA-CHILET:
 Hosp Virgen Rocio, Fdn Progreso & Salud FPS, Clin Bioinformat Area, Seville 41013, Spain

 Ctr Invest Biomed Red Enfermedades Raras CIBERER, Bioinformat Rare Dis BiER, Seville 41013, Spain

 Inst Biomed Seville IBiS, Computat Syst Med, Seville 41013, Spain

:
 Hosp Virgen Rocio, Fdn Progreso & Salud FPS, Clin Bioinformat Area, Seville 41013, Spain

 Ctr Invest Biomed Red Enfermedades Raras CIBERER, Bioinformat Rare Dis BiER, Seville 41013, Spain

 Inst Biomed Seville IBiS, Computat Syst Med, Seville 41013, Spain

 Funct Genom Node INB ELIXIR, Seville, Spain
ISSN: 20010370





Computational and Structural Biotechnology Journal
Editorial
Research Network of Computational and Structural Biotechnology, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, Suecia
Tipo de documento: Article
Volumen: 19 Número:
Páginas: 2968-2978
WOS Id: 000684858000015
ID de PubMed: 34136096
imagen gold, Green Published

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