Deterministic pattern mining on genetic sequences

• Tipo: Capítulo ou Parte de Livro
• Data: 2009

Autores

Ferreira, PG (Autor) Outra; Azevedo, PJ (Autor) Outra

Livro

Título: Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques

Páginas: 277-301

ISBN: 9781605667669

ISBN Eletrónico: 9781605667676

Indexação

Scopus - 0 Citações

Classificação Científica

CORDIS: Ciências Físicas > Ciência de computadores > Informática > Informática aplicada

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-009-CEH

DOI: 10.4018/978-1-60566-766-9.ch013

Abstract (EN): The recent increase in the number of complete genetic sequences freely available through specialized Internet databases presents big challenges for the research community. One such challenge is the efficient and effective search of sequence patterns, also known as motifs, among a set of related genetic sequences. Such patterns describe regions that may provide important insights about the structural and functional role of DNA and proteins. Two main classes can be considered: probabilistic patterns represent a model that simulates the sequences or part of the sequences under consideration and deterministic patterns that either match or not the input sequences. In this chapter a general overview of deterministic sequence mining over sets of genetic sequences is proposed. The authors formulate an architecture that divides the mining process workflow into a set of blocks. Each of these blocks is discussed individually. © 2010, IGI Global.

Idioma: Inglês

Tipo (Avaliação Docente): Científica