Rice Galaxy: an open resource for plant science
Rice molecular genetics, breeding, genetic diversity, and allied research (such as rice-pathogen interaction) have adopted sequencing technologies and high-density genotyping platforms for genome variation analysis and gene discovery. Germplasm collections representing rice diversity, improved varie...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Oxford University Press
2019
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| Acceso en línea: | https://hdl.handle.net/10568/164681 |
| _version_ | 1855539455721472000 |
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| author | Juanillas, Venice DeReeper, Alexis Beaume, Nicolas Droc, Gaëtan Dizon, Joshua Mendoza, John Robert Perdon, Jon Peter Mansueto, Locedie Triplett, Lindsay Lang, Jillian Zhou, Gabriel Ratharanjan, Kunalan Plale, Beth Haga, Jason Leach, Jan E. Ruiz, Manuel Thomson, Michael Alexandrov, Nickolai Larmande, Pierre Kretzschmar, Tobias Mauleon, Ramil P. |
| author_browse | Alexandrov, Nickolai Beaume, Nicolas DeReeper, Alexis Dizon, Joshua Droc, Gaëtan Haga, Jason Juanillas, Venice Kretzschmar, Tobias Lang, Jillian Larmande, Pierre Leach, Jan E. Mansueto, Locedie Mauleon, Ramil P. Mendoza, John Robert Perdon, Jon Peter Plale, Beth Ratharanjan, Kunalan Ruiz, Manuel Thomson, Michael Triplett, Lindsay Zhou, Gabriel |
| author_facet | Juanillas, Venice DeReeper, Alexis Beaume, Nicolas Droc, Gaëtan Dizon, Joshua Mendoza, John Robert Perdon, Jon Peter Mansueto, Locedie Triplett, Lindsay Lang, Jillian Zhou, Gabriel Ratharanjan, Kunalan Plale, Beth Haga, Jason Leach, Jan E. Ruiz, Manuel Thomson, Michael Alexandrov, Nickolai Larmande, Pierre Kretzschmar, Tobias Mauleon, Ramil P. |
| author_sort | Juanillas, Venice |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Rice molecular genetics, breeding, genetic diversity, and allied research (such as rice-pathogen interaction) have adopted sequencing technologies and high-density genotyping platforms for genome variation analysis and gene discovery. Germplasm collections representing rice diversity, improved varieties, and elite breeding materials are accessible through rice gene banks for use in research and breeding, with many having genome sequences and high-density genotype data available. Combining phenotypic and genotypic information on these accessions enables genome-wide association analysis, which is driving quantitative trait loci discovery and molecular marker development. Comparative sequence analyses across quantitative trait loci regions facilitate the discovery of novel alleles. Analyses involving DNA sequences and large genotyping matrices for thousands of samples, however, pose a challenge to non−computer savvy rice researchers. |
| format | Journal Article |
| id | CGSpace164681 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Oxford University Press |
| publisherStr | Oxford University Press |
| record_format | dspace |
| spelling | CGSpace1646812025-12-08T09:54:28Z Rice Galaxy: an open resource for plant science Juanillas, Venice DeReeper, Alexis Beaume, Nicolas Droc, Gaëtan Dizon, Joshua Mendoza, John Robert Perdon, Jon Peter Mansueto, Locedie Triplett, Lindsay Lang, Jillian Zhou, Gabriel Ratharanjan, Kunalan Plale, Beth Haga, Jason Leach, Jan E. Ruiz, Manuel Thomson, Michael Alexandrov, Nickolai Larmande, Pierre Kretzschmar, Tobias Mauleon, Ramil P. Rice molecular genetics, breeding, genetic diversity, and allied research (such as rice-pathogen interaction) have adopted sequencing technologies and high-density genotyping platforms for genome variation analysis and gene discovery. Germplasm collections representing rice diversity, improved varieties, and elite breeding materials are accessible through rice gene banks for use in research and breeding, with many having genome sequences and high-density genotype data available. Combining phenotypic and genotypic information on these accessions enables genome-wide association analysis, which is driving quantitative trait loci discovery and molecular marker development. Comparative sequence analyses across quantitative trait loci regions facilitate the discovery of novel alleles. Analyses involving DNA sequences and large genotyping matrices for thousands of samples, however, pose a challenge to non−computer savvy rice researchers. 2019-05-01 2024-12-19T12:54:12Z 2024-12-19T12:54:12Z Journal Article https://hdl.handle.net/10568/164681 en Open Access Oxford University Press Juanillas, Venice; Dereeper, Alexis; Beaume, Nicolas; Droc, Gaetan; Dizon, Joshua; Mendoza, John Robert; Perdon, Jon Peter; Mansueto, Locedie; Triplett, Lindsay; Lang, Jillian; Zhou, Gabriel; Ratharanjan, Kunalan; Plale, Beth; Haga, Jason; Leach, Jan E; Ruiz, Manuel; Thomson, Michael; Alexandrov, Nickolai; Larmande, Pierre; Kretzschmar, Tobias and Mauleon, Ramil P. 2019. Rice Galaxy: an open resource for plant science. GigaScience, volume 8; pages 1-14. |
| spellingShingle | Juanillas, Venice DeReeper, Alexis Beaume, Nicolas Droc, Gaëtan Dizon, Joshua Mendoza, John Robert Perdon, Jon Peter Mansueto, Locedie Triplett, Lindsay Lang, Jillian Zhou, Gabriel Ratharanjan, Kunalan Plale, Beth Haga, Jason Leach, Jan E. Ruiz, Manuel Thomson, Michael Alexandrov, Nickolai Larmande, Pierre Kretzschmar, Tobias Mauleon, Ramil P. Rice Galaxy: an open resource for plant science |
| title | Rice Galaxy: an open resource for plant science |
| title_full | Rice Galaxy: an open resource for plant science |
| title_fullStr | Rice Galaxy: an open resource for plant science |
| title_full_unstemmed | Rice Galaxy: an open resource for plant science |
| title_short | Rice Galaxy: an open resource for plant science |
| title_sort | rice galaxy an open resource for plant science |
| url | https://hdl.handle.net/10568/164681 |
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