نتایج جستجو برای: geographical origin

تعداد نتایج: 247073  

2017
Ben Pascoe Guillaume Méric Koji Yahara Helen Wimalarathna Susan Murray Matthew D Hitchings Emma L Sproston Catherine D Carrillo Eduardo N Taboada Kerry K Cooper Steven Huynh Alison J Cody Keith A Jolley Martin C J Maiden Noel D McCarthy Xavier Didelot Craig T Parker Samuel K Sheppard

The genetic structure of bacterial populations can be related to geographical locations of isolation. In some species, there is a strong correlation between geographical distance and genetic distance, which can be caused by different evolutionary mechanisms. Patterns of ancient admixture in Helicobacter pylori can be reconstructed in concordance with past human migration, whereas in Mycobacteri...

2010
Alice Valentini Pierre Taberlet

Honey is produced by honeybees from nectar and from secretions of living plants. It reflects the honeybees’ diet and the local plant communities. Honey also shows different plant compositions in different geographical locations. We propose a new method for studying the plant diversity and the geographical origin of honey using a DNA barcoding approach that combines universal primers and massive...

Journal: :European journal of public health 2010
Isabel Río Adela Castelló Carmen Barona Mireia Jané Rosa Más Marisa Rebagliato Susana Bosch Encarnación Martínez Francisco Bolúmar

BACKGROUND Spain has become a principal destination for immigrants and delivery is the major reason for hospitalization in this population. However, research about inequities between native and immigrant women regarding the quality of the care received during pregnancy and delivery is still scarce. One of the indicators used to evaluate the quality of the obstetric care is the rate of caesarean...

Journal: :Annals of human genetics 2004
T Egeland H M Bøvelstad G O Storvik A Salas

In a number of practical cases it is important to determine the likely geographical origin of an individual or a biological sample. A dead body, old bones or a sample of semen may be available. Information on where the sample might come from can assist investigation or research. The first part of this paper is independent of specific data structure. We formulate the problem as a classification ...

Journal: :IJAEIS 2010
Giovanna Aronne Veronica De Micco Mario Rosario Guarracino

In this paper, the authors address the problem of the discrimination of geographical origin and the selection of marker species of honeys using Support Vector Machines and z-scores. The methodology is based on the elaboration of palynological data with statistical learning methodologies. This innovative solution provides a simple yet powerful tool to detect the origin of honey samples. In case ...

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