Sentence examples for analysis of genetics data from inspiring English sources

The supplementary statistics unit addressed concepts relevant to the analysis of genetics data, such as the basic laws of probability, binomial and chi-square probability distributions, defining a null hypothesis, and the application of the chi-square as a "goodness of fit" test between observed and expected genetic outcomes.

Second, a dendrogram (Figure 4) was constructed according to Nei's (1978) genetic distance and UPGMA method using the software program GDA Genetic Data Analysiss; Lewis and Zaykin 2001) version 1.1., which is a software package for analysis of discrete population genetics data according to Weir (1996).

Furthermore, research has been conducted trying to identify pathogenic processes by the integrated computational analysis of heterogeneous data sources, including genetics, transcriptomics, proteomics and interactome data.

Analysis of genomic data and population genetics using fast-evolving markers such as simple sequence repeats (SSRs) and single nucleotide polymorphisms (SNPs) [ 6, 7, 12, 51] should provide additional valuable information for delimiting recently diverged species.

Traditional trait improvement has centred on quantitative genetics, using statistical analysis of phenotypic data to determine animals with the highest genetic merit [ 2].

The null findings were also consistent in an analysis of data from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) (54) (Supplementary Material, Fig. S3).

The analysis of chromosomal regions that are identical by descent is a fundamental tool in linkage analysis of pedigree data and in population genetics studies such as genome-wide association studies (Browning and Browning, 2010).

Unless otherwise specified (e.g., in the genetics data analysis), hazard ratios (HRs) refer to the comparison of one bevacizumab arm with the control arm.

He acknowledges the positive impact of Moore's Law (which observes that computer-processing power doubles approximately every two years), and the progress it is generating in robotics, genetics, data analysis, and other areas.

Based on theoretical power calculations, population genetics simulations and analysis of the real data set we have illustrated high performance and potential utility of combined approaches for association studies.

We suggest two approaches for a combined association test and investigate the performance of these two approaches based on a theoretical model, population genetics simulations and analysis of a real data set.