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| Registros recuperados: 171 | |
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| Clevenger, Anthony P; Western Transportation Institute, Montana State University; apclevenger@gmail.com; Sawaya, Michael A; Department of Ecology, Montana State University; mikesawaya@hotmail.com. |
| Intuitively, wildlife crossing structures should enhance the viability of wildlife populations. Previous research has demonstrated that a broad range of species will use crossing structures, however, questions remain as to whether these measures actually provide benefits to populations. To assess this, studies will need to determine the number of individuals using crossings, their sex, and their genetic relationships. Obtaining empirical data demonstrating population-level benefits for some species can be problematic and challenging at best. Molecular techniques now make it possible to identify species, individuals, their sex, and their genetic relatedness from hair samples collected through non-invasive genetic sampling (NGS). We describe efforts to pilot... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Banff National Park; DNA; Genetics; Non-invasive; Road ecology; Ursus americanus; Ursus arctos; Wildlife crossing structure. |
| Ano: 2010 |
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| Tonini,Gustavo; Siqueira,Frank. |
| Background: Discovering biomarkers is a fundamental step to understand and deal with genetic diseases. Methods using classic Computer Science algorithms have been adapted in order to support processing large biological data sets, aiming to find useful information to understand causing conditions of diseases such as cancer. Results: This paper describes some promising biomarker discovery methods based on several grid architectures. Each technique has some features that make it more suitable for a particular grid architecture. This matching depends on the parallelizing capabilities of the method and the resource availability in each processing/storage node. Conclusion: The study described in this paper analyzed the performance of biomarker discovery methods... |
| Tipo: Journal article |
Palavras-chave: Feature selection; Genetics; Parallel computing; Pattern detection; Performance. |
| Ano: 2013 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582013000500013 |
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| Villela,Thais R.; Freire,Bruna L.; Braga,Nathalia T. P.; Arantes,Rodrigo R.; Funari,Mariana F. A.; Alexander,Jorge A L; Silva,Ivani N.. |
| Abstract Laron’s syndrome (LS) is a rare genetic disorder characterized by insensitivity to growth hormone (GH). Up to the present time, over 70 mutations of GH receptor (GHR) gene have been identified leading to GH/insulin-like growth factor type 1 (IGF1) signaling pathway defect. The number of LS patients worldwide is unknown, as many are probably undiagnosed. We report two sibs from a consanguineous family from Minas Gerais, southeastern Brazil. The parents have three children. The older, a 4-years-old girl was 80.2 cm tall (-5.7 SDS height/age), and the youngest sister, aged 3 years, was 73.2 cm tall (-5.82 SDS height/age). Their clinical and biochemical features are typical of LS patients, such as high serum level of GH and low IGF1 concentrations. A... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Laron Syndrome; Growth hormone; Growth hormone receptor; Genetics. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572019000500102 |
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| Registros recuperados: 171 | |
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