From ea46f42ee640928b92947bfb204c41a482d80937 Mon Sep 17 00:00:00 2001 From: root Date: Tue, 8 May 2012 18:39:56 -0500 Subject: Add all the source codes into the github. --- .../ppt/html/webqtl_demo2.ppt_files/slide0026.htm | 139 +++++++++++++++++++++ 1 file changed, 139 insertions(+) create mode 100755 web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0026.htm (limited to 'web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0026.htm') diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0026.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0026.htm new file mode 100755 index 00000000..2ef9b9ff --- /dev/null +++ b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0026.htm @@ -0,0 +1,139 @@ + PowerPoint Presentation - Complex trait analysis, develop-ment, and genomics +
lSummary of Part 2
1. Covered the basics of QTL analysis and mapping.
2. Reviewed difference between genetic and physical maps.
3. Discussed interpreting features of QTL maps including the LRS function, the additive effect function, the bootstrap bars, and the permutation thresholds.
4. Illustrated techniques to generate a list of positional candidates.
5. Discussed some factors used to evaluate candidate genes.
What does a QTL signify? A good QTL is a claim that a particular chromosomal region contains a causal source of variation in the phenotype. The importance of this hypothesis depends on the quality and relevance of the phenotype and the statistical strength of the QTL. As usual, test and be skeptical.
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