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On the use of algorithms to discover motifs in DNA sequences

 

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Opened Access On the use of algorithms to discover motifs in DNA sequences
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Author: Rubio Escudero, Cristina
Martínez Álvarez, F.
Martínez Ballesteros, María del Mar
Riquelme Santos, José Cristóbal
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2011
ISBN/ISSN: 978-1-4577-1676-8
2164-7143
Document type: Presentation
Abstract: Many approaches are currently devoted to find DNA motifs in nucleotide sequences. However, this task remains challenging for specialists nowadays due to the difficulties they find to deeply understand gene regulatory mechanisms, especially when analyzing binding sites in DNA. These sites or specific nucleotide sequences are known to be responsible for transcription processes. Thus, this work aims at providing an updated overview on strategies developed to discover meaningful motifs in DNA-related sequences, and, in particular, their attempts to find out relevant binding sites. From all existing approaches, this work is focused on dictionary, ensemble, and artificial intelligence-based algorithms since they represent the classical and the leading ones, respectively.
Size: 223.1Kb
Format: PDF

URI: http://hdl.handle.net/11441/42210

DOI: http://dx.doi.org/10.1109/ISDA.2011.6121801

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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