The Codon Adaptation Index (CAI) was introduced by Sharp and Li in 1987 to quantify codon usage similarities between a coding sequence and a set of reference sequences. When synonymous codons for a given amino acid exist, highly expressed genes seem to prefer some of them, according to tRNA abundance and thermodynamic issues. Some authors have described CAI-based methods to derive expressivity measures for all genes in a genome, in a computational framework. Here we present the CAIAP (CAI Analyser Package), a platform independent package of computer programs allowing the calculation of the CAI and a deep study of gene expressivity from raw gene sequences. Our approach implements and optimizes a procedure to derive the reference sequences from whole genomes and use their codon usage for CAI estimation. Moreover, a set of analysis tools are provided to perform statistical analyses and therefore to give robustness to results. Objective: Our efforts were aimed to produce an easy-to-use and fully automatic set of programs specifically designed for the analysis of gene expressivity and inter-species comparisons on a great number of genomes. Moreover, the output integrates information coming from functional annotations of genes. We are maintaining a web server storing our analyses for hundreds of genomes, allowing intergenomic comparison of data thanks to dedicated search engines. The CAIAP server is hosted at www4.unifi.it/scibio/bioinfo/caiap/html. The programs (maintained as Perl scripts) are also available for download at the same location.

The CAI Analyser Package: inferring gene expressivity from raw genomic data / M. Ramazzotti; M. Brilli; R. Fani; G. Manao; D. Degl'innocenti. - In: IN SILICO BIOLOGY. - ISSN 1386-6338. - ELETTRONICO. - 7:(2007), pp. 0035-0035.

The CAI Analyser Package: inferring gene expressivity from raw genomic data.

RAMAZZOTTI, MATTEO;BRILLI, MATTEO;FANI, RENATO;MANAO, GIAMPAOLO;DEGL'INNOCENTI, DONATELLA
2007

Abstract

The Codon Adaptation Index (CAI) was introduced by Sharp and Li in 1987 to quantify codon usage similarities between a coding sequence and a set of reference sequences. When synonymous codons for a given amino acid exist, highly expressed genes seem to prefer some of them, according to tRNA abundance and thermodynamic issues. Some authors have described CAI-based methods to derive expressivity measures for all genes in a genome, in a computational framework. Here we present the CAIAP (CAI Analyser Package), a platform independent package of computer programs allowing the calculation of the CAI and a deep study of gene expressivity from raw gene sequences. Our approach implements and optimizes a procedure to derive the reference sequences from whole genomes and use their codon usage for CAI estimation. Moreover, a set of analysis tools are provided to perform statistical analyses and therefore to give robustness to results. Objective: Our efforts were aimed to produce an easy-to-use and fully automatic set of programs specifically designed for the analysis of gene expressivity and inter-species comparisons on a great number of genomes. Moreover, the output integrates information coming from functional annotations of genes. We are maintaining a web server storing our analyses for hundreds of genomes, allowing intergenomic comparison of data thanks to dedicated search engines. The CAIAP server is hosted at www4.unifi.it/scibio/bioinfo/caiap/html. The programs (maintained as Perl scripts) are also available for download at the same location.
2007
7
0035
0035
M. Ramazzotti; M. Brilli; R. Fani; G. Manao; D. Degl'innocenti
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/823179
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