Here we present a simple statistical method to determine the phenotypic contribution of a single mutation from libraries of mutants with diverse phenotypes in which each mutant contains a multitude of mutations. The central premise of this method is that, given M phenotypic classes, mutations that do not affect the phenotype should partition among the M classes according to a multinomial distri...

conclusions the mtbdrplus and mtbdrsl genotypic testing can serve as useful additional tools for dst in a high-burden country like pakistan provided it is used in combination with phenotypic testing. results the sensitivity of mtbdrplus for isoniazid and rifampicin was found to be 88.8% and 90.2%, respectively, while sensitivity of mtbdrsl for fluoroquinolones, amikacin/capreomycin, and ethambu...

Identification of risk factors in patients with a particular disease can be analyzed in clinical data sets by using feature selection procedures of pattern recognition and data mining methods. The applicability of the relaxed linear separability (RLS) method of feature subset selection was checked for high-dimensional and mixed type (genetic and phenotypic) clinical data of patients with end-st...

background and objective: reports on mrsa strains are increasing worldwide. the aim of this study was to find the prevalence of mrsa strains isolated from clinical specimens and to evaluate their resistance profile. additionally we compared the phenotypic and genotypic methods for detection of methicillin resistance. materials and methods: in this cross-sectional study, a total of 41 isolates o...

The main objective of the present study was to estimate genetic and phenotypic trends for body weight traits in Guilan province sheep. Traits included were birth weight (BW, n=14,549), 3-month weight (3MW, n=13,109) and 6-month weight (6MW, n=10,141). Data and pedigree information used in this study were collected during 1994 to 2011 by the Agricultural Organization of Guilan province in Iran. ...

Combining models for phenotypic and molecular evolution can lead to powerful inference tools. Under the fl exible framework of Bayesian phylogenetics, I develop statistical methods to address phylodynamic problems in this intersection. First, I present a hierarchical phylogeographic method that combines information across multiple datasets to draw inference on a common geographical spread proce...

Measuring natural selection has been a fundamental goal of evolutionary biology for more than a century, and techniques developed in the last 20 yr have provided relatively simple means for biologists to do so. Many of these techniques, however, share a common limitation: when applied to phenotypic data, environmentally induced covariances between traits and fitness can lead to biased estimates...

Exploration of the search space through the optimisation of phenotypic diversity is of increasing interest within the field of evolutionary robotics. Novelty search and the more recent MAP-Elites are two state of the art evolutionary algorithms which diversify low dimensional phenotypic traits for divergent exploration. In this paper we introduce a novel alternative for rapid divergent search o...