Revealing sequence variation patterns in rice with machine learning methods
The major breakthrough at the turn of the millennium was the completion of genome sequences for individuals from many species, including human, worm and rice. More recently, it has also been important to describe sequence variation within one species, providing the first step towards the linkage of...
| Autores principales: | , , , , , , , , , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2008
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/166273 |
Ejemplares similares: Revealing sequence variation patterns in rice with machine learning methods
- Genomewide SNP variation reveals relationships among landraces and modern varieties of rice
- Sequencing multiple and diverse rice varieties. Connecting whole-genome variation with phenotypes
- Source and inheritance of the within cultivar residual variation detected in an indica variety IR64
- Development of genomic simple sequence repeat markers for yam
- Grouping of tropical midaltitude maize inbred lines based on yield data and molecular markers
- Genetic diversity of cassava (Manihot esculenta Crantz) landraces and cultivars from southern, eastern and central Africa