Introduction

Conduct multiple quantitative trait loci (QTL) mapping under the framework of random-QTL-effect linear mixed model. 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 are viewed as potential QTL, all the effects of the potential QTL are included in a multi-QTL model, their effects are estimated by empirical Bayes in doubled haploid population or by adaptive lasso in F2 population, and true QTL are identified by likelihood radio test. See Wen et al. (2019) Brief Bioinform 20(5):1913-1924.

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Credits

  1. Yuan-Ming Zhang soyzhang@mail.hzau.edu.cn
    Investigator

    college of plant science and technology, Huazhong Agricultural University, China

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Summary
AccessionBT007079
Tool TypeApplication
CategoryQTL mapping
PlatformsLinux/Unix, MAC OS X, Windows
TechnologiesR
User InterfaceDesktop GUI, Terminal Command Line
Input DataBAM
Latest ReleaseGUI v2.0+, Code v3.2+ (April 20, 2020)
Download Count3708
Country/RegionChina
Submitted ByYuan-Ming Zhang