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Statistical Engineering Division Seminar

Gene Expression Regulatory Patterns Described by Quantitative Trait Locus Mapping

Dr. Jessica Maia
Genomic Sciences Graduate Program
North Carolina State University
Statistical Engineering Division Seminar
Teusday, October 16, 2007, 9:30-10:30 AM
Building 222, Room A264

Abstract

In this seminar, we will discuss gene expression regulatory regions of eucalyptus and yeast inbred populations, quantifying the extent of the gene expression variation due to genetic variation. We will examine statistical models used to find these regulatory regions, the permutation tests used to set thresholds to detect such regions, and how to deal with missing marker genotypes.   Gene expression levels are highly correlated. This correlation arises from environmental correlation, genetic correlation, or both. We characterize the extent of the genetic correlation among gene expression levels.  In addition, we find expression regulatory regions for all genes in the yeast genome, studying in detail regulatory patterns of genes in individual yeast amino acid biosynthetic pathways.

NIST Contact: Antonio Possolo, (301) 975-2853.

Date created: 10/11/2007
Last updated: 10/11/2007
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