Articles producció científica> Química Física i Inorgànica

A First-Stage Approximation to Identify New Imprinted Genes through Sequence Analysis of Its Coding Regions

  • Datos identificativos

    Identificador: imarina:5824931
    Autores:
    Daura-Oller, EliasCabre, MariaMontero, Miguel A.Paternain, Jose L.Romeu, Antoni
    Resumen:
    In the present study, a positive training set of 30 known human imprinted gene coding regions are compared with a set of 72 randomly sampled human nonimprinted gene coding regions (negative training set) to identify genomic features common to human imprinted genes. The most important feature of the present work is its ability to use multivariate analysis to look at variation, at coding region DNA level, among imprinted and non-imprinted genes. There is a force affecting genomic parameters that appears through the use of the appropriate multivariate methods (principle components analysis (PCA) and quadratic discriminant analysis (QDA) to analyse quantitative genomic data. We show that variables, such as CG content, [bp]% CpG islands, [bp]% Large Tandem Repeats, and [bp]% Simple Repeats, are able to distinguish coding regions of human imprinted genes.
  • Otros:

    Autor según el artículo: Daura-Oller, Elias; Cabre, Maria; Montero, Miguel A.; Paternain, Jose L.; Romeu, Antoni;
    Departamento: Química Física i Inorgànica
    Autor/es de la URV: Cabré Bargalló, Maria / DAURA OLLER, ELIES / Montero Simó, Miguel Angel / PATERNÁIN SUBERVIOLA, JOSÉ LUIS / ROMEU FIGUEROLA, ANTONIO RAMÓN
    Palabras clave: Reduced inequalities
    Resumen: In the present study, a positive training set of 30 known human imprinted gene coding regions are compared with a set of 72 randomly sampled human nonimprinted gene coding regions (negative training set) to identify genomic features common to human imprinted genes. The most important feature of the present work is its ability to use multivariate analysis to look at variation, at coding region DNA level, among imprinted and non-imprinted genes. There is a force affecting genomic parameters that appears through the use of the appropriate multivariate methods (principle components analysis (PCA) and quadratic discriminant analysis (QDA) to analyse quantitative genomic data. We show that variables, such as CG content, [bp]% CpG islands, [bp]% Large Tandem Repeats, and [bp]% Simple Repeats, are able to distinguish coding regions of human imprinted genes.
    Áreas temáticas: Molecular biology Medicina i Genetics & heredity Genetics Biotechnology & applied microbiology Biotechnology Biodiversidade Biochemistry & molecular biology
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 1531-6912
    Direcció de correo del autor: maria.cabre@urv.cat
    Identificador del autor: 0000-0003-4124-8603
    Fecha de alta del registro: 2024-11-16
    Volumen de revista: 2009
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.hindawi.com/journals/ijg/2009/549387/
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Comparative And Functional Genomics. 2009 (549387): 549387-7
    Referencia de l'ítem segons les normes APA: Daura-Oller, Elias; Cabre, Maria; Montero, Miguel A.; Paternain, Jose L.; Romeu, Antoni; (2009). A First-Stage Approximation to Identify New Imprinted Genes through Sequence Analysis of Its Coding Regions. Comparative And Functional Genomics, 2009(549387), 549387-7. DOI: 10.1155/2009/549387
    DOI del artículo: 10.1155/2009/549387
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2009
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Biochemistry & Molecular Biology,Biotechnology,Biotechnology & Applied Microbiology,Genetics,Genetics & Heredity,Molecular Biology
    Reduced inequalities
    Molecular biology
    Medicina i
    Genetics & heredity
    Genetics
    Biotechnology & applied microbiology
    Biotechnology
    Biodiversidade
    Biochemistry & molecular biology
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