Sentence examples for genetic data analysis and from inspiring English sources

Taking advantage of the rich graphical options available within Excel, GenAlEx offers a wide range of graphical outputs that aid genetic data analysis and interpretation.

In this paper, we focus on multiple imputation as a tool for treating missings in genetic data analysis and use that approach to test markers for HWE.

In particular, EAs have shown to achieve good solutions by searching a relatively small section of the entire space [ 50], and have been widely used in genetic data analysis and GRN inference (for an overview, see [ 51- 53]).

Analysis of genetic variation of the 16 primer pairs was conducted in Genetic Data Analysis (Lewis and Zaykin, 2001) to quantify the number of alleles (A) per locus, as well as observed (Ho) and expected (He) values of heterozygosity, and tests of Hardy Weinberg equilibrium and linkage disequilibrium.

Through a series of academic research positions before joining GSK, he developed research interests in statistical genetics methodology and in human genetic data analysis.

Here we test whether the fruitless gene has evolved neutrally or under positive selection in species of Anastrepha (Tephritidae: Diptera) using two different approaches, a long-term evolutionary analysis and a populational genetic data analysis.

This pleiotropy between QTL could explain partially the genetic correlation between body weight and sex reversal in sea bream, suggested also in Batargias [7] by pedigree-based genetic data analysis (i.e. genetic parameter estimation), and it further supports our hypothesis of genetic control in sex determination apart from environmental factors.

The main merit of DHLAS is the incorporation of a database, thus, the data can be stored and manipulated along with integrated genetic data analysis procedures.

Tests for deviations from HWE in African-Americans and Caucasians were calculated using genetic data analysis (GDA) software [43].

An integration approach combining different kinds of genetic data analysis (i.e. genomic convergence of GAS, GWAS, genome-scans and microarrays) may be more effective in identifying valid genetic loci [ 39, 40].

We constructed haplotypes with the genetic data analysis program SIMHAP (see http://www.genepi.com/au/project/simhap, obtained May 2, 2007), using 1000 iterations and a posterior probability >0.95.