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...

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Detalles Bibliográficos
Autores principales: Zhang, Ya-Wen, Wen, Yang-Jun, Dunwell, Jim M., Zhang, Yuan-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2019
Materias:
Research Article
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

Internet

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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