Rapid and inexpensive sequencing technologies are making it possible to collect whole genome sequence data on multiple individuals from a population. This type of data can be used to quickly identify genes that control important ecological and evolutionary phenotypes by finding the targets of adaptive natural selection, and we therefore refer to such approaches as "reverse ecology." To quantify...

objective(s): reliability measures precision or the extent to which test results can be replicated. this is the first ever systematic review to identify statistical methods used to measure reliability of equipment measuring continuous variables. this studyalso aims to highlight the inappropriate statistical method used in the reliability analysis and its implication in the medical practice.   m...

Recently, comparative genomic hybridization onto bacterial artificial chromosome (BAC) arrays (array-based comparative genomic hybridization) has proved to be successful for the detection of submicroscopic DNA copy-number variations in health and disease. Technological improvements to achieve a higher resolution have resulted in the generation of additional microarray platforms encompassing lar...

Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic. Accurate prediction of these traits can help medical professionals diagnose acute diseases and breeders to increase food products, and therefo...

Genomic Selection (GS) is a new breeding method in which genome-wide markers are used to predict the breeding value of individuals in a breeding population. GS has been shown to improve breeding efficiency in dairy cattle and several crop plant species, and here we evaluate for the first time its efficacy for breeding inbred lines of rice. We performed a genome-wide association study (GWAS) in ...

The availability of complete genomic sequences allows us to infer the evolutionary footprints between species in a global strategy. However, the length of these genomic sequences poses a challenge on computational efficiency and optimality of information representation in phylogenetic analyses. In this paper, a new method called complete composition vector (CCV) is described to infer evolutiona...