Dynamical Analysis of Circadian Gene Expression

Autores
Layana, Carla; Diambra, Luis Anibal
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Microarrays technique allows the simultaneous measurements of the expression levels of thousands of mRNAs. By mining this data one can identify the dynamics of the gene expression time series. By recourse of principal component analysis, we uncover the circadian rhythmic patterns underlying the gene expression profiles from Cyanobacterium Synechocystis. We applied PCA to reduce the dimensionality of the data set. Examination of the components also provides insight into the underlying factors measured in the experiments. Our results suggest that all rhythmic content of data can be reduced to three main components.
Fil: Layana, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina
Fil: Diambra, Luis Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina
Materia
Gene Expression
Bioinformatics
Circadian clock
Dynamical Analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/242115
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Dynamical Analysis of Circadian Gene ExpressionLayana, CarlaDiambra, Luis AnibalGene ExpressionBioinformaticsCircadian clockDynamical Analysishttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Microarrays technique allows the simultaneous measurements of the expression levels of thousands of mRNAs. By mining this data one can identify the dynamics of the gene expression time series. By recourse of principal component analysis, we uncover the circadian rhythmic patterns underlying the gene expression profiles from Cyanobacterium Synechocystis. We applied PCA to reduce the dimensionality of the data set. Examination of the components also provides insight into the underlying factors measured in the experiments. Our results suggest that all rhythmic content of data can be reduced to three main components.Fil: Layana, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; ArgentinaFil: Diambra, Luis Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; ArgentinaWorld Academy of Science, Engineering and Technology2008-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/242115Layana, Carla; Diambra, Luis Anibal; Dynamical Analysis of Circadian Gene Expression; World Academy of Science, Engineering and Technology; International Journal of Biological, Biomedical and Medical Sciences; 3; 2; 5-2008; 101-1052070-3791CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.waset.org/journals/ijbms/v3/v3-2-14.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:08:41Zoai:ri.conicet.gov.ar:11336/242115instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:08:41.55CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dynamical Analysis of Circadian Gene Expression
title Dynamical Analysis of Circadian Gene Expression
spellingShingle Dynamical Analysis of Circadian Gene Expression
Layana, Carla
Gene Expression
Bioinformatics
Circadian clock
Dynamical Analysis
title_short Dynamical Analysis of Circadian Gene Expression
title_full Dynamical Analysis of Circadian Gene Expression
title_fullStr Dynamical Analysis of Circadian Gene Expression
title_full_unstemmed Dynamical Analysis of Circadian Gene Expression
title_sort Dynamical Analysis of Circadian Gene Expression
dc.creator.none.fl_str_mv Layana, Carla
Diambra, Luis Anibal
author Layana, Carla
author_facet Layana, Carla
Diambra, Luis Anibal
author_role author
author2 Diambra, Luis Anibal
author2_role author
dc.subject.none.fl_str_mv Gene Expression
Bioinformatics
Circadian clock
Dynamical Analysis
topic Gene Expression
Bioinformatics
Circadian clock
Dynamical Analysis
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Microarrays technique allows the simultaneous measurements of the expression levels of thousands of mRNAs. By mining this data one can identify the dynamics of the gene expression time series. By recourse of principal component analysis, we uncover the circadian rhythmic patterns underlying the gene expression profiles from Cyanobacterium Synechocystis. We applied PCA to reduce the dimensionality of the data set. Examination of the components also provides insight into the underlying factors measured in the experiments. Our results suggest that all rhythmic content of data can be reduced to three main components.
Fil: Layana, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina
Fil: Diambra, Luis Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina
description Microarrays technique allows the simultaneous measurements of the expression levels of thousands of mRNAs. By mining this data one can identify the dynamics of the gene expression time series. By recourse of principal component analysis, we uncover the circadian rhythmic patterns underlying the gene expression profiles from Cyanobacterium Synechocystis. We applied PCA to reduce the dimensionality of the data set. Examination of the components also provides insight into the underlying factors measured in the experiments. Our results suggest that all rhythmic content of data can be reduced to three main components.
publishDate 2008
dc.date.none.fl_str_mv 2008-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/242115
Layana, Carla; Diambra, Luis Anibal; Dynamical Analysis of Circadian Gene Expression; World Academy of Science, Engineering and Technology; International Journal of Biological, Biomedical and Medical Sciences; 3; 2; 5-2008; 101-105
2070-3791
CONICET Digital
CONICET
url http://hdl.handle.net/11336/242115
identifier_str_mv Layana, Carla; Diambra, Luis Anibal; Dynamical Analysis of Circadian Gene Expression; World Academy of Science, Engineering and Technology; International Journal of Biological, Biomedical and Medical Sciences; 3; 2; 5-2008; 101-105
2070-3791
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.waset.org/journals/ijbms/v3/v3-2-14.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv World Academy of Science, Engineering and Technology
publisher.none.fl_str_mv World Academy of Science, Engineering and Technology
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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