dc.contributor
Institut Català de la Salut
dc.contributor
[Perez-Sanz F] Instituto Murciano de Investigaciones Biomédicas El Palmar, 30120 Murcia, Spain. [Ruiz-Hernández V] Department of Biosciences, University Salzburg, 5020 Salzburg, Austria. [Terry MI, Weiss J, Egea-Cortines M] Genética Molecular, Instituto de Biotecnología Vegetal, Edificio I+D+I, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain. [Arce-Gallego S] Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. [Navarro PJ] DSIE Cuartel de Antiguones, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain
dc.contributor
Vall d'Hebron Barcelona Hospital Campus
dc.contributor.author
Pérez Sanz, Fernando
dc.contributor.author
Ruiz-Hernández, Victoria
dc.contributor.author
Terry, Marta I.
dc.contributor.author
Arce Gallego, Sara
dc.contributor.author
Weiss, Julia
dc.contributor.author
Navarro Lorente, Pedro Javier
dc.contributor.author
Egea-Cortines, Marcos
dc.date.accessioned
2025-10-25T05:37:56Z
dc.date.available
2025-10-25T05:37:56Z
dc.date.issued
2022-06-08T09:52:11Z
dc.date.issued
2022-06-08T09:52:11Z
dc.identifier
Perez-Sanz F, Ruiz-Hernández V, Terry MI, Arce-Gallego S, Weiss J, Navarro PJ, et al. gcProfileMakeR: An R Package for Automatic Classification of Constitutive and Non-Constitutive Metabolites. Metabolites. 2021 Abr;11(4):211.
dc.identifier
https://hdl.handle.net/11351/7642
dc.identifier
10.3390/metabo11040211
dc.identifier
000643265800001
dc.identifier.uri
http://hdl.handle.net/11351/7642
dc.description.abstract
Circadian clock; Constitutive metabolome; Machine learning
dc.description.abstract
Reloj circadiano; Metaboloma constitutivo; Aprendizaje automático
dc.description.abstract
Rellotge circadià; Metaboloma constitutiu; Aprenentatge automàtic
dc.description.abstract
Metabolomes comprise constitutive and non-constitutive metabolites produced due to physiological, genetic or environmental effects. However, finding constitutive metabolites and non-constitutive metabolites in large datasets is technically challenging. We developed gcProfileMakeR, an R package using standard Excel output files from an Agilent Chemstation GC-MS for automatic data analysis using CAS numbers. gcProfileMakeR has two filters for data preprocessing removing contaminants and low-quality peaks. The first function NormalizeWithinFiles, samples assigning retention times to CAS. The second function NormalizeBetweenFiles, reaches a consensus between files where compounds in close retention times are grouped together. The third function getGroups, establishes what is considered as Constitutive Profile, Non-constitutive by Frequency i.e., not present in all samples and Non-constitutive by Quality. Results can be plotted with the plotGroup function. We used it to analyse floral scent emissions in four snapdragon genotypes. These included a wild type, Deficiens nicotianoides and compacta affecting floral identity and RNAi:AmLHY targeting a circadian clock gene. We identified differences in scent constitutive and non-constitutive profiles as well as in timing of emission. gcProfileMakeR is a very useful tool to define constitutive and non-constitutive scent profiles. It also allows to analyse genotypes and circadian datasets to identify differing metabolites.
dc.description.abstract
This research was funded by Ministerio de Ciencia, Innovación y Universidades and FEDER grant numbers BFU2017-88300-C2-1R to M.E.-C. and J.W.; BFU2017-88300-C2-2R to P.J.N.; and a PhD contract by the Ministerio de Educación Cultura y Deporte FPU13/03606 to V.R.-H.
dc.format
application/pdf
dc.format
application/pdf
dc.relation
Metabolites;11(4)
dc.relation
https://doi.org/10.3390/metabo11040211
dc.rights
Attribution 4.0 International
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
ADN - Bancs de dades
dc.subject
Genètica molecular
dc.subject
INFORMATION SCIENCE::Information Science::Information Services::Documentation::Molecular Sequence Data
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PHENOMENA AND PROCESSES::Metabolism::Metabolome
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DISCIPLINES AND OCCUPATIONS::Natural Science Disciplines::Biological Science Disciplines::Biochemistry::Molecular Biology
dc.subject
CIENCIA DE LA INFORMACIÓN::Ciencias de la información::servicios de información::documentación::datos de secuencia molecular
dc.subject
FENÓMENOS Y PROCESOS::metabolismo::metaboloma
dc.subject
DISCIPLINAS Y OCUPACIONES::disciplinas de las ciencias naturales::disciplinas de las ciencias biológicas::bioquímica::biología molecular
dc.title
gcProfileMakeR: An R Package for Automatic Classification of Constitutive and Non-Constitutive Metabolites
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion