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QTL.gCIMapping
View on CRAN: Click
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Download and install QTL.gCIMapping package within the R console
Install from CRAN:
install.packages("QTL.gCIMapping")
Install from Github:
library("remotes")
install_github("cran/QTL.gCIMapping")
Install by package version:
library("remotes")
install_version("QTL.gCIMapping", "3.4")
Attach the package and use:
library("QTL.gCIMapping")
Maintained by
Yuanming Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-24
Latest Update: 2022-02-24
Description:
Conduct multiple quantitative trait loci (QTL) and QTL-by-environment interaction (QEI) mapping via ordinary or compressed variance component mixed models with random- or fixed QTL/QEI effects. First, each position on the genome is detected in order to obtain a negative logarithm P-value curve against genome position. Then, all the peaks on each effect (additive or dominant) curve or on each locus curve are viewed as potential main-effect QTLs and QEIs, all their effects are included in a multi-locus model, their effects are estimated by both least angle regression and empirical Bayes (or adaptive lasso) in backcross and F2 populations, and true QTLs and QEIs are identified by likelihood radio test. See Zhou et al. (2022) and Wen et al. (2018) .
How to cite:
Yuanming Zhang (2018). QTL.gCIMapping: QTL Genome-Wide Composite Interval Mapping. R package version 3.4, https://cran.r-project.org/web/packages/QTL.gCIMapping
Previous versions and publish date:
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Other R packages that QTL.gCIMapping depends,
imports, suggests or enhances
Functions, R codes and Examples using
the QTL.gCIMapping R package
Some associated functions: DHdata . Dodata . F2data . QTL.gCIMapping . Readdata . WangF . WangS . WenF . WenS . ZhouF . ZhouMethod . ZhouMethod_single_env . markerinsert .
Some associated R codes: Dodata.R . QTL.gCIMapping.R . RcppExports.R . Readdata.R . WangF.R . ZhouF.R . Full QTL.gCIMapping package functions and examples
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