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Edit File: bristleX.html
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Data on bristle number in Drosophila</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="stylesheet" type="text/css" href="R.css" /> </head><body> <table width="100%" summary="page for bristleX {qtl}"><tr><td>bristleX {qtl}</td><td style="text-align: right;">R Documentation</td></tr></table> <h2>Data on bristle number in Drosophila</h2> <h3>Description</h3> <p>Data from bristle number in chromosome X recombinant isogenic lines of <em>Drosophila melanogaster</em>. </p> <h3>Usage</h3> <pre>data(bristleX)</pre> <h3>Format</h3> <p>An object of class <code>cross</code>. See <code><a href="read.cross.html">read.cross</a></code> for details. </p> <h3>Details</h3> <p>There are 92 chromosome X recombinant isogenic lines, derived from inbred lines that were selected for low (A) and high (B) abdominal bristle numbers. A recombinant chromosome X was placed in an isogenic low background. </p> <p>There are eight phenotypes: the average and SD of the number of abdominal and sternopleural bristles in males and females for each line. </p> <p>Each line is typed at 17 genetic markers on chromosome 3. </p> <h3>References</h3> <p>Long, A. D., Mullaney, S. L., Reid, L. A., Fry, J. D., Langley, C. H. and MacKay, T. F. C. (1995) High resolution mapping of genetic factors affecting abdominal bristle number in <em>Drosophila melanogaster</em>. <em>Genetics</em> <b>139</b>, 1273–1291. </p> <h3>See Also</h3> <p><code><a href="bristleX.html">bristleX</a></code>, <code><a href="listeria.html">listeria</a></code>, <code><a href="fake.bc.html">fake.bc</a></code>, <code><a href="fake.f2.html">fake.f2</a></code>, <code><a href="fake.4way.html">fake.4way</a></code>, <code><a href="hyper.html">hyper</a></code> </p> <h3>Examples</h3> <pre> data(bristleX) # Summaries summary(bristleX) plot(bristleX) # genome scan for each of the average phenotypes bristleX <- calc.genoprob(bristleX, step=2) out <- scanone(bristleX, pheno.col=c(1,3,5,7)) # Plot the results # maximum LOD score among four phenotypes ym <- max(apply(out[,-(1:2)], 2, max)) plot(out, lod=1:3, ylim=c(0,ym)) plot(out, lod=4, add=TRUE, col="green") </pre> <hr /><div style="text-align: center;">[Package <em>qtl</em> version 1.66 <a href="00Index.html">Index</a>]</div> </body></html>