NOISYmputer v0.5, an updated algorithm for imputation of low-depth sequencing data in bi-parental populations of diploid species
A beta, functional version of the algorithm is available
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122319 |
| _version_ | 1855532078740799488 |
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| author | CGIAR Research Program on Rice |
| author_browse | CGIAR Research Program on Rice |
| author_facet | CGIAR Research Program on Rice |
| author_sort | CGIAR Research Program on Rice |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A beta, functional version of the algorithm is available |
| format | Informe técnico |
| id | CGSpace122319 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| record_format | dspace |
| spelling | CGSpace1223192023-03-14T12:09:11Z NOISYmputer v0.5, an updated algorithm for imputation of low-depth sequencing data in bi-parental populations of diploid species CGIAR Research Program on Rice development rural development data species systems agrifood systems beta depth diploid A beta, functional version of the algorithm is available 2021-12-31 2022-10-06T13:56:15Z 2022-10-06T13:56:15Z Report https://hdl.handle.net/10568/122319 en Open Access application/pdf CGIAR Research Program on Rice. 2021. NOISYmputer v0.5, an updated algorithm for imputation of low-depth sequencing data in bi-parental populations of diploid species. Reported in Rice Annual Report 2021. Innovations. |
| spellingShingle | development rural development data species systems agrifood systems beta depth diploid CGIAR Research Program on Rice NOISYmputer v0.5, an updated algorithm for imputation of low-depth sequencing data in bi-parental populations of diploid species |
| title | NOISYmputer v0.5, an updated algorithm for imputation of low-depth sequencing data in bi-parental populations of diploid species |
| title_full | NOISYmputer v0.5, an updated algorithm for imputation of low-depth sequencing data in bi-parental populations of diploid species |
| title_fullStr | NOISYmputer v0.5, an updated algorithm for imputation of low-depth sequencing data in bi-parental populations of diploid species |
| title_full_unstemmed | NOISYmputer v0.5, an updated algorithm for imputation of low-depth sequencing data in bi-parental populations of diploid species |
| title_short | NOISYmputer v0.5, an updated algorithm for imputation of low-depth sequencing data in bi-parental populations of diploid species |
| title_sort | noisymputer v0 5 an updated algorithm for imputation of low depth sequencing data in bi parental populations of diploid species |
| topic | development rural development data species systems agrifood systems beta depth diploid |
| url | https://hdl.handle.net/10568/122319 |
| work_keys_str_mv | AT cgiarresearchprogramonrice noisymputerv05anupdatedalgorithmforimputationoflowdepthsequencingdatainbiparentalpopulationsofdiploidspecies |