Autor según el artículo: Puigbo, Pere; Bravo, Ignacio G.; Garcia-Vallve, Santiago;

Departamento: Bioquímica i Biotecnologia

Autor/es de la URV: Garcia Vallve, Santiago / PUIGBÒ AVALOS, PEDRO

Palabras clave: Usage bias Sequences Selection Metabolism Human genome Highly expressed genes Evolution Escherichia-coli Database

Resumen: The Codon Adaptation Index (CAI) is a measure of the synonymous codon usage bias for a DNA or RNA sequence. It quantifies the similarity between the synonymous codon usage of a gene and the synonymous codon frequency of a reference set. Extreme values in the nucleotide or in the amino acid composition have a large impact on differential preference for synonymous codons. It is thence essential to define the limits for the expected value of CAI on the basis of sequence composition in order to properly interpret the CAI and provide statistical support to CAI analyses. Though several freely available programs calculate the CAI for a given DNA sequence, none of them corrects for compositional biases or provides confidence intervals for CAI values.The E-CAI server, available at http://genomes.urv.es/CAIcal/E-CAI, is a web-application that calculates an expected value of CAI for a set of query sequences by generating random sequences with G+C and amino acid content similar to those of the input. An executable file, a tutorial, a Frequently Asked Questions (FAQ) section and several examples are also available. To exemplify the use of the E-CAI server, we have analysed the codon adaptation of human mitochondrial genes that codify a subunit of the mitochondrial respiratory chain (excluding those genes that lack a prokaryotic orthologue) and are encoded in the nuclear genome. It is assumed that these genes were transferred from the proto-mitochondrial to the nuclear genome and that its codon usage was then ameliorated.The E-CAI server provides a direct threshold value for discerning whether the differences in CAI are statistically significant or whether they are merely artifacts that arise from internal biases in the G+C composition and/or amino acid composition of the query sequences.

Áreas temáticas: Structural biology Saúde coletiva Química Molecular biology Medicina veterinaria Medicina ii Medicina i Mathematical & computational biology Matemática / probabilidade e estatística Interdisciplinar Farmacia Engenharias iv Engenharias iii Computer science applications Ciências sociais aplicadas i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência da computação Biotecnología Biotechnology & applied microbiology Biodiversidade Biochemistry Biochemical research methods Applied mathematics

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 14712105

Direcció de correo del autor: santi.garcia-vallve@urv.cat

Identificador del autor: 0000-0002-0348-7497

Fecha de publicacion del artículo: 2008-01-29

Fecha de alta del registro: 2023-02-18

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-65

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Bmc Bioinformatics. 9 (65): 65-

Referencia de l'ítem segons les normes APA: Puigbo, Pere; Bravo, Ignacio G.; Garcia-Vallve, Santiago; (2008). E-CAI: a novel server to estimate an expected value of Codon Adaptation Index (eCAI). Bmc Bioinformatics, 9(65), 65-. DOI: 10.1186/1471-2105-9-65

DOI del artículo: 10.1186/1471-2105-9-65

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2008

Tipo de publicación: Journal Publications