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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/242115
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T09:59:15Zoai: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:34982025-09-03 09:59:15.581CONICET 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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1842269570325282816 |
score |
13.13397 |