User profiles for Gary A. Churchill

Gary Churchill

The Jackson Laboratory
Verified email at jax.org
Cited by 53490

Empirical threshold values for quantitative trait mapping.

GA Churchill, RW Doerge - Genetics, 1994 - academic.oup.com
The detection of genes that control quantitative characters is a problem of great interest to the
genetic mapping community. Methods for locating these quantitative trait loci (QTL) relative …

R/qtl: QTL mapping in experimental crosses

KW Broman, H Wu, Ś Sen, GA Churchill - bioinformatics, 2003 - academic.oup.com
R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTLs) in
experimental populations derived from inbred lines. It is implemented as an add-on package for …

Stochastic models for heterogeneous DNA sequences

GA Churchill - Bulletin of mathematical biology, 1989 - Elsevier
The composition of naturally occurring DNA sequences is often strikingly heterogeneous. In
this paper, the DNA sequence is viewed as a stochastic process with local compositional …

[HTML][HTML] Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors

…, JP Palazzo, OI Olopade, PS Bernard, GA Churchill… - Genome biology, 2007 - Springer
Background Although numerous mouse models of breast carcinomas have been developed,
we do not know the extent to which any faithfully represent clinically significant human …

A Hidden Markov Model approach to variation among sites in rate of evolution.

J Felsenstein, GA Churchill - Molecular biology and evolution, 1996 - academic.oup.com
The method of Hidden Markov Models is used to allow for unequal and unknown evolutionary
rates at different sites in molecular sequences. Rates of evolution at different sites are …

Analysis of variance for gene expression microarray data

MK Kerr, M Martin, GA Churchill - Journal of computational biology, 2000 - liebertpub.com
Spotted cDNA microarrays are emerging as a powerful and cost-effective tool for large-scale
analysis of gene expression. Microarrays can be used to measure the relative quantities of …

Fundamentals of experimental design for cDNA microarrays

GA Churchill - Nature genetics, 2002 - nature.com
Microarray technology is now widely available and is being applied to address increasingly
complex scientific questions. Consequently, there is a greater demand for statistical …

[HTML][HTML] Statistical tests for differential expression in cDNA microarray experiments

X Cui, GA Churchill - Genome biology, 2003 - Springer
Extracting biological information from microarray data requires appropriate statistical methods.
The simplest statistical method for detecting differential expression is the t test, which can …

Experimental design for gene expression microarrays

MK Kerr, GA Churchill - Biostatistics, 2001 - academic.oup.com
We examine experimental design issues arising with gene expression microarray technology.
Microarray experiments have multiple sources of variation, and experimental plans should …

Variation in gene expression within and among natural populations

MF Oleksiak, GA Churchill, DL Crawford - Nature genetics, 2002 - nature.com
Evolution may depend more strongly on variation in gene expression than on differences
between variant forms of proteins 1. Regions of DNA that affect gene expression are highly …