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Bioinformatics Vol. 17 no. 10 2001
Pages 913-919
© 2001 Oxford University Press

DIANA-EST: a statistical analysis

Artemis G. Hatzigeorgiou 1,2, Petko Fiziev 1 and Martin Reczko 2

1 Metagen GmbH, Ihnestr.63, 14195 Berlin, Germany
2 Synaptic Ltd, Science and Technology Park of Crete, PO Box 1447, Voutes Heraklion, 71110 Greece

Received on April 20, 2001 ; revised on July 12, 2001 ; accepted on July 12, 2001

Motivation: Expressed Sequence Tags (ESTs) are next to cDNA sequences as the most direct way to locate in silico the genes of the genome and determine their structure. Currently ESTs make up more than 60% of all the database entries. The goal of this work is the development of a new program called DNA Intelligent Analysis for ESTs (DIANA-EST) based on a combination of Artificial Neural Networks (ANN) and statistics for the characterization of the coding regions within ESTs and the reconstruction of the encoded protein.

Results: 89.7% of the nucleotides from an independent test set with 127 ESTs were predicted correctly as to whether they are coding or non coding.

Availability: The program is available upon request from the author.

Contact: Present address: Department of Genetics, University of Pennsylvania, School of Medicine, 475 Clinical Research Building, 415 Curie Boulevard, Philadelphia, PA 19104-6145, USA. artemis{at}pcbi.upenn.edu.


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