Evolutionary Computation Method for Promoter Site Prediction in DNA
نویسندگان
چکیده
This paper develops an evolutionary method that learns inductively to recognize the makeup and the position of very short consensus sequences, which are a typical feature of promoters in eukaryotic genomes. This class of method can be used to discover candidate promoter sequences in primary sequence data. If further developed, it has the potential to discover genes which are regulated together.
منابع مشابه
Estimation of LPC coefficients using Evolutionary Algorithms
The vast use of Linear Prediction Coefficients (LPC) in speech processing systems has intensified the importance of their accurate computation. This paper is concerned with computing LPC coefficients using evolutionary algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Dif-ferential Evolution (DE) and Particle Swarm Optimization with Differentially perturbed Velocity (PSO-DV...
متن کاملEvolutionary computation method for pattern recognition of cis-acting sites.
This paper develops an evolutionary method that learns inductively to recognize the makeup and the position of very short consensus sequences, cis-acting sites, which are a typical feature of promoters in genomes. The method combines a Finite State Automata (FSA) and Genetic Programming (GP) to discover candidate promoter sequences in primary sequence data. An experiment measures the success of...
متن کاملA New Method for Geolocating of Radiation Sources Based on Evolutionary Computation of TDOA Equations
In this article a new method is introduced for geolocating of signal emitters which is based on evolutionary computation (EC) concept. In the proposed method two well-known members of EC techniques including Bees Algorithm (BA) and Genetic Algorithm (GA), are utilized to estimate the positions of emitters by optimizing the hyperbola equations which have been resulted from Time Difference of Arr...
متن کاملImproving promoter prediction Improving promoter prediction for the NNPP2.2 algorithm: a case study using Escherichia coli DNA sequences
MOTIVATION Although a great deal of research has been undertaken in the area of promoter prediction, prediction techniques are still not fully developed. Many algorithms tend to exhibit poor specificity, generating many false positives, or poor sensitivity. The neural network prediction program NNPP2.2 is one such example. RESULTS To improve the NNPP2.2 prediction technique, the distance betw...
متن کاملساختار مولکول DNA سه رشته ای: اهمیت و کاربردهای پزشکی آن
Back in 1957, when investigators produced a triple-stranded form of DNA while studying synthetic nucleic acids, few researchers paid much attention to the discovery. However, triplex DNA was never entirely forgotton and especially since 1987 its structural and functional importance in biological systems as well as its medical applications and therapeutic potentional have been extensively studie...
متن کامل