One of the main challenges in modern biology and genome research is to understand the complex mechanisms that regulate gene expression. Being able to tell when, why, and how one or more genes are activated could provide information of inestimable value for the understanding of the mechanisms of life. The wealth of genomic data now available opens new opportunities to researchers. We present how a method based on genetic algorithms has been applied to the characterization of two regulatory signals in DNA sequences, that help the cellular apparatus to locate the beginning of a gene along the genome, and to start its transcription. The signals have been derived from the analysis of a large number of genomic sequences. Comparisons with related work show that our method presents different improvements, both from the computational viewpoint, and in the biological relevance of the results obtained. © Springer-Verlag Berlin Heidelberg 2004.

Mauri, G., Mosca, R., Pavesi, G. (2004). A GA approach to the definition of regulatory signals in genomic sequences. In Genetic and Evolutionary Computation (pp.380-391). Springer Verlag [10.1007/978-3-540-24854-5_39].

A GA approach to the definition of regulatory signals in genomic sequences

MAURI, GIANCARLO;
2004

Abstract

One of the main challenges in modern biology and genome research is to understand the complex mechanisms that regulate gene expression. Being able to tell when, why, and how one or more genes are activated could provide information of inestimable value for the understanding of the mechanisms of life. The wealth of genomic data now available opens new opportunities to researchers. We present how a method based on genetic algorithms has been applied to the characterization of two regulatory signals in DNA sequences, that help the cellular apparatus to locate the beginning of a gene along the genome, and to start its transcription. The signals have been derived from the analysis of a large number of genomic sequences. Comparisons with related work show that our method presents different improvements, both from the computational viewpoint, and in the biological relevance of the results obtained. © Springer-Verlag Berlin Heidelberg 2004.
ga approach, definition, regulatory, signals, genomic sequences
English
Gecco 2004
Genetic and Evolutionary Computation
9783540223443
2004
3102
380
391
none
Mauri, G., Mosca, R., Pavesi, G. (2004). A GA approach to the definition of regulatory signals in genomic sequences. In Genetic and Evolutionary Computation (pp.380-391). Springer Verlag [10.1007/978-3-540-24854-5_39].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/11992
Citazioni
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
Social impact