|
|
|
|
|
| Su, Hung-Yi; Tenter, Astrid M.; Johnson, Alan M.. |
| The chromosomal DNA of Sarcocystis gigantea and Sarcocystis muris were digested with NotI and SfiI and characterized in contour-clamped homogeneous electric fields. Under these electric fields, the chromosomal DNA of S. gigantea and S. muris showed different electrophoretic mobilities. Therefore, it appears that this technique may be useful in future studies on the differentiation of Sarcocystis species. The results of NotI and SfiI digestion of S. muris chromosomes suggested that there is an absence of a significant number of recognition sites for these two enzymes in the genome of S. muris. The addition of the sizes of 15 SfiI fragments of S. gigantea DNA suggested that the S. gigantea genome is larger than 14 mb. |
|
Palavras-chave: Genomic analysis; Contour-clamped homogenous electric field; Sarcocystis gigantea; Sarcocystis muris. |
| Ano: 1992 |
URL: http://ir.obihiro.ac.jp/dspace/handle/10322/160 |
| |
|
|
| Azevedo, Camila Ferreira; Nascimento, Moysés; Fontes, Vitor Cunha; Silva, Fabyano Fonseca e; Resende, Marcos Deon Vilela de; Cruz, Cosme Damião. |
| GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. The software includes statistical procedures based on mixed models, Bayesian inference, dimensionality reduction and artificial intelligence. Examples of data files that can be processed by GenomicLand are available. The examples are useful to learn about the operation of the modules and statistical procedures. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Statistical analysis; Genomic analysis; Molecular markers; Biometrics.. |
| Ano: 2019 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361 |
| |
|
|
| Azevedo, Camila Ferreira; Nascimento, Moysés; Fontes, Vitor Cunha; Silva, Fabyano Fonseca e; Resende, Marcos Deon Vilela de; Cruz, Cosme Damião. |
| GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. The software includes statistical procedures based on mixed models, Bayesian inference, dimensionality reduction and artificial intelligence. Examples of data files that can be processed by GenomicLand are available. The examples are useful to learn about the operation of the modules and statistical procedures. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Statistical analysis; Genomic analysis; Molecular markers; Biometrics.. |
| Ano: 2019 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361 |
| |
|
|
|
