A Guide to QTL Mapping with R/qtl

By Qing Zhou. 2009

870 citations recorded by the source corpus.

Importing and simulating data.- Data checking.- Single-QTL analysis.- Non-normal phenotypes.- Experimental design and power.- Working with covariates.- Two-dimensional, two-QTL scans.- Fit and exploration of multiple-QTL models.- Case study I.- Case study II.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/485a1bc138d3f07fb95c85b09e1b513db2ef6aca

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Pjotr Prins
2. Karl W. Broman
3. Petr Simecek
4. Śaunak Sen
5. Brian S. Yandell
6. Daniel M. Gatti
7. Gary A. Churchill
8. Nicholas A. Furlotte

Citations in the corpus

• R/qtl: high-throughput multiple QTL mapping (2010, neutral): “, 2003) has become a reference implementation with an extensive guide on QTL mapping (Broman and Sen, 2009).”
• R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations (2018, positive): “We use a hidden Markov model [HMM; see Broman and Sen (2009), App.”
• Genotype-by-Environment Interaction and Plasticity: Exploring Genomic Responses of Plants to the Abiotic Environment (2013, background): “An alternative strategy centers on deriving composite traits from breeding values of genotypes measured in multiple environments, such as the difference or ratio of response across the environment (Broman & Sen 2009).”