High-throughput Screening in Genetics

High-throughput Screening in Genetics

Bioinformatical and Biostatistical Aspects

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Author: Jens Aßmus
Length: 144 page(s)
Written: May 2013
Sales Rank: - XinXii Sales Rank
Views: 1582

Category: Sciences & Research » Natural Sciences  |  Work: Dissertation
Keywords: Biology, Bioinformatic, Biostatistic, Genetic studies, Genome-Wide Association Studies

Dissertation Biologie

This dissertation is based on the manuscripts CandiSNPer [117], NovelSNPer [8], SNPs und InDels [9], and Ambiguous indels [7].
Genetic studies are used to find an association between the genotype and a phenotypic trait. This association can be revealed by a correlation analysis, which calculates the correlation among the genetic variations and the observed traits. Variations are parts of the genome, which differs among the individuals of a population. There are at least two different sequences to every variation that exists. These different sequences of a variation are called alleles. A high correlation between a variation and a trait exists if one allele of the variation and one value of the trait often occur together and another allele also often occurs together with another trait-value.
There is a huge amount of data production in genetic studies but an evaluation bottleneck of this data. In my dissertation, I look for methods to improve the analysis and evaluation of the data obtained by genome studies.

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