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Registro Completo |
Biblioteca(s): |
Embrapa Pecuária Sul. |
Data corrente: |
30/09/2019 |
Data da última atualização: |
30/09/2019 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
FERREIRA, L. M.; SÁFADI, T.; SETOTAW, T. A.; FERREIRA, J. L. |
Afiliação: |
Leila Maria Ferreira; Thelma Sáfadi; Tesfahun Alemu Setotaw; JULIANO LINO FERREIRA, CPPSUL. |
Título: |
The bioinformatics tools for discovery of genetic diversity by means of elastic net and hurst exponent. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
In: SAMADIKUCHAKSARAEI, A.; SEIFI, M. (Ed.). Bioinformatics tools for detection and clinical interpretation of genomic variations. London: IntechOpen, 2019. |
Páginas: |
p. 1-14. |
Idioma: |
Inglês |
Conteúdo: |
Abstract The genome era allowed us to evaluate different aspects on genetic variation, with a precise manner followed by a valuable tip to guide the improvement of knowledge and direct to upgrade to human life. In order to scrutinize these treasured resources, some bioinformatics tools permit us a deep exploration of these data. Among them, we show the importance of the discrete non-decimated wavelet transform (NDWT). The wavelets have a better ability to capture hidden components of biological data and an efficient link between biological systems and the mathematical objects used to describe them. The decomposition of signals/ sequences at different levels of resolution allows obtaining distinct characteristics in each level. The analysis using technique of wavelets has been growing increasingly in the study of genomes. One of the great advantages associated to this method corresponds to the computational gain, that is, the analyses are processed almost in real time. The applicability is in several areas of science, such as physics, mathematics, engineering, and genetics, among others. In this context, we believe that using R software and applied NDWT coupled with elastic net domains and Hurst exponent will be of valuable gui |
Palavras-Chave: |
Bioinformática. |
Thesagro: |
Genética. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/202427/1/The-Bioinformatics-Tools-for-Discovery-of-Genetic-Diversity-by-Means-of-Elastic-Net-and-Hurst-Exponent.pdf
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Marc: |
LEADER 01928naa a2200193 a 4500 001 2112619 005 2019-09-30 008 2019 bl uuuu u00u1 u #d 100 1 $aFERREIRA, L. M. 245 $aThe bioinformatics tools for discovery of genetic diversity by means of elastic net and hurst exponent.$h[electronic resource] 260 $c2019 300 $ap. 1-14. 520 $aAbstract The genome era allowed us to evaluate different aspects on genetic variation, with a precise manner followed by a valuable tip to guide the improvement of knowledge and direct to upgrade to human life. In order to scrutinize these treasured resources, some bioinformatics tools permit us a deep exploration of these data. Among them, we show the importance of the discrete non-decimated wavelet transform (NDWT). The wavelets have a better ability to capture hidden components of biological data and an efficient link between biological systems and the mathematical objects used to describe them. The decomposition of signals/ sequences at different levels of resolution allows obtaining distinct characteristics in each level. The analysis using technique of wavelets has been growing increasingly in the study of genomes. One of the great advantages associated to this method corresponds to the computational gain, that is, the analyses are processed almost in real time. The applicability is in several areas of science, such as physics, mathematics, engineering, and genetics, among others. In this context, we believe that using R software and applied NDWT coupled with elastic net domains and Hurst exponent will be of valuable gui 650 $aGenética 653 $aBioinformática 700 1 $aSÁFADI, T. 700 1 $aSETOTAW, T. A. 700 1 $aFERREIRA, J. L. 773 $tIn: SAMADIKUCHAKSARAEI, A.; SEIFI, M. (Ed.). Bioinformatics tools for detection and clinical interpretation of genomic variations. London: IntechOpen, 2019.
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