Articles producció científica> Química Física i Inorgànica

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

  • Identification data

    Identifier: imarina:5824931
    Handle: https://hdl.handle.net/20.500.11797/imarina5824931
    Authors:
    Daura-Oller, EliasCabre, MariaMontero, Miguel A.Paternain, Jose L.Romeu, Antoni
    Abstract:
    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.

  • Others:

    Author, as appears in the article.: Daura-Oller, Elias; Cabre, Maria; Montero, Miguel A.; Paternain, Jose L.; Romeu, Antoni;
    Department: Química Física i Inorgànica
    URV's Author/s: Cabré Bargalló, Maria / DAURA OLLER, ELIES / Montero Simó, Miguel Angel / PATERNÁIN SUBERVIOLA, JOSÉ LUIS / ROMEU FIGUEROLA, ANTONIO RAMÓN
    Keywords: Reduced inequalities
    Abstract: 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.
    Thematic Areas: Molecular biology Medicina i Genetics & heredity Genetics Biotechnology & applied microbiology Biotechnology Biodiversidade Biochemistry & molecular biology
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 1531-6912
    Author's mail: maria.cabre@urv.cat
    Author identifier: 0000-0003-4124-8603
    Record's date: 2024-11-16
    Journal volume: 2009
    Papper version: info:eu-repo/semantics/publishedVersion
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Comparative And Functional Genomics. 2009 (549387): 549387-7
    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
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2009
    Publication Type: Journal Publications

  • Keywords:

    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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