Data/hora: 19/06/2024 13:46:42

Biblioteca(s): 	Embrapa Soja.	
Data corrente: 	19/01/2011	
Data da última atualização: 	03/06/2011	
Autoria: 	SILLA, P. R.; CAMARGO-BRUNETTO, M. A. de O.; BINNECK, E.	
Afiliação: 	PAULO R. SILLA, UEL; MARIA ANGÉLICA DE O. CAMARGO-BRUNETTO, UEL; ELISEU BINNECK, CNPSO.	
Título: 	Using a support vector machine to identify Pre-miRNAs in soybean (Glycine max) introns.	
Ano de publicação: 	2010	
Fonte/Imprenta: 	In: INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, 2010, Cairo. Proceedings... [Cairo]: IEEE, 2010. CD-ROM.	
Páginas: 	P. 1235-1241.	
ISBN: 	978-1-4244-8135-4	
Idioma: 	Inglês	
Conteúdo: 	MicroRNAs (miRNAs) are small Ribonucleic Acid (RNA) molecules ?18?22 nucleotides (nt) in length that regulates gene expression in animals, plants and viruses. Due to its small size and occurrence in different development stages of organisms, the experimental identification of miRNAs becomes difficult, and computational approaches are being developed in order to precede and guide biological experiments. This paper describes our approach based on a Support Vector Machine (SVM) algorithm to identify miRNA?s precursor (pre-miRNA) in soybean (Glycine max) transcript introns, that was developed using a secondary structure predictor of pre-miRNAs sequences to establish the feature set for training, testing and validation phases of SVM algorithm.	
Palavras-Chave: 	Bioinformática.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Soja (CNPSO)	
Exemplares: 	CNPSO - (31769-1) - UPC - AA - PP - 11938 -  - 11938 - DIS