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QTL.gCIMapping.GUI v2.0: An R software for detecting small-effect and linked QTLs for quantitative traits in bi-parental segregation populations
The methodologies and software packages for mapping quantitative trait loci (QTLs) in bi-parental segregation populations are well established. However, it is still difficult to detect small-effect and linked QTLs. To address this issue, we proposed a genome-wide composite interval mapping (GCIM) in...
Autores principales: | Zhang, Ya-Wen, Wen, Yang-Jun, Dunwell, Jim M., Zhang, Yuan-Ming |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921137/ https://www.ncbi.nlm.nih.gov/pubmed/31890145 http://dx.doi.org/10.1016/j.csbj.2019.11.005 |
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