DNA fragment assembly using neural prediction techniques.
Int J Neural Syst
; 9(6): 523-44, 1999 Dec.
Article
em En
| MEDLINE
| ID: mdl-10651335
ABSTRACT
The paper describes an alternative approach to the fragment assembly problem. The key idea is to train a recurrent neural network to tracking the sequence of bases constituting a given fragment and to assign to a same cluster all the sequences which are well tracked by this network. We make use of a 3-layer Recurrent Perceptron and examine both edited sequences from a ftp site and artificial fragments from a common simulation software the clusters we obtain exhibit interesting properties in terms of error filtering, stability and self consistency; we define as well, with a certain degree of approximation, a metric on the fragment set. The proposed assembly algorithm is susceptible to becoming an alternative method with the following properties (i) high quality of the rebuilt genomic sequences, (ii) high parallelizability of the computing process with consequent drastic reduction of the running time.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Valor Preditivo dos Testes
/
Redes Neurais de Computação
/
Fragmentação do DNA
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Int J Neural Syst
Assunto da revista:
ENGENHARIA BIOMEDICA
/
INFORMATICA MEDICA
Ano de publicação:
1999
Tipo de documento:
Article
País de afiliação:
Itália