By Zehua Chen
While various complex statistical ways have lately been built for quantitative trait loci (QTL) mapping, the tools are scattered during the literature. Statistical equipment for QTL Mapping brings jointly many contemporary statistical suggestions that tackle the knowledge complexity of QTL mapping.
After introducing uncomplicated genetics subject matters and statistical ideas, the writer discusses the rules of quantitative genetics, basic statistical problems with QTL mapping, customary one-dimensional QTL mapping techniques, and a number of period mapping equipment. He then explains easy methods to use a function choice method of take on a QTL mapping challenge with dense markers. The booklet additionally presents entire assurance of Bayesian types and MCMC algorithms and describes equipment for multi-trait QTL mapping and eQTL mapping, together with meta-trait equipment and multivariate sequential procedures.
This booklet emphasizes the trendy statistical technique for QTL mapping in addition to the statistical matters that come up in this method. It supplies the mandatory organic heritage for statisticians with out education in genetics and, likewise, covers statistical considering and ideas for geneticists. Written basically for geneticists and statisticians focusing on QTL mapping, the publication can be used as a complement in graduate classes or for self-study by way of PhD scholars engaged on QTL mapping projects.
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Extra info for Statistical Methods for QTL Mapping
Example text
4 Gene Expression The traits of an organism are essentially determined by the characteristics of its cells. The characteristics of a cell are, in turn, determined by the types of proteins which it makes. The DNA sequence of the genome stores the information for the synthesis of cellular proteins. It provides a blueprint for the production of proteins in correct cells, at proper time and in suitable amount. The process of converting the information stored by DNA into functional proteins is called gene expression.
There are various methods for estimation. The most commonly used methods are maximum likelihood estimation (MLE) and the method of moments (MM). f. indexed by a parameter θ (θ is either a scaler or a vector), say, f (x; θ). Selected Topics in Statistics 43 Then any characteristic of the population is a function of the parameter θ. The estimation of the population characteristics reduces to the estimation of θ. Let X = (X1 , . . , Xn ) be a random sample. f. is then n f (x; θ) = f (xi ; θ) i=1 where x = (x1 , .
There is a one-to-one correspondence between the DNA coding strand and the amino acid sequence. However, in eukaryotic species, there is no longer such oneto-one correspondence. The mRNA sequence is not completely translated. As mentioned earlier, the mRNA sequence is a copy of the middle sequence of a gene which consists of exons and introns. In eukaryotic species, as well as some prokaryotic species, before the translation process, the sequences in the mRNA corresponding to the introns are cut out, and the exons are then spliced together.