Results 131 to 140 of about 2,122,472 (401)

Genotypes and subtypes of hepatitis C virus in Burundi: a particularity in Sub-saharan Africa

open access: yesThe Pan African Medical Journal, 2014
INTRODUCTION: Hepatitis C virus (HCV) infection is a major public health issue. HCV genotype identification is clinically important to tailor the dosage and duration of treatment. Indeed, distinct therapeutic approaches are required for each genotype. Up
Rénovat Ntagirabiri   +3 more
doaj   +1 more source

Immunity-induced criticality of the genotype network of influenza A (H3N2) hemagglutinin [PDF]

open access: yesarXiv, 2021
Seasonal influenza kills hundreds of thousands every year, with multiple constantly-changing strains in circulation at any given time. A high mutation rate enables the influenza virus to evade recognition by the human immune system, including immunity acquired through past infection and vaccination.
arxiv  

Changing boundaries and meanings of middle class houses in Sri Lanka [PDF]

open access: yes, 2013
Houses are distinctively organised spatial networks that embody social norms and meaning of a given culture. Normally it is accepted that visually identifiable house ‘types’ which also closely fit the culture of a group are adopted by society.
Paranagamage, Primali
core  

CNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing.

open access: yesGenome Research, 2011
Copy number variation (CNV) in the genome is a complex phenomenon, and not completely understood. We have developed a method, CNVnator, for CNV discovery and genotyping from read-depth (RD) analysis of personal genome sequencing.
A. Abyzov   +3 more
semanticscholar   +1 more source

Genotyping-by-Sequencing in Plants [PDF]

open access: yesBiology, 2012
The advent of next-generation DNA sequencing (NGS) technologies has led to the development of rapid genome-wide Single Nucleotide Polymorphism (SNP) detection applications in various plant species. Recent improvements in sequencing throughput combined with an overall decrease in costs per gigabase of sequence is allowing NGS to be applied to not only ...
Stéphane Deschamps   +2 more
openaire   +3 more sources

Adaptability and stability of new soybean genotypes [PDF]

open access: yesSelekcija i Semenarstvo, 2003
The work on soybean breeding conducted at the Institute of Field and Vegetable Crops in Novi Sad, results each year in the development of a number of new soybean lines that are tested in both Varietal Commission trials and in a macrotrial network which ...
Miladinović Jegor   +4 more
doaj  

Personalized or Precision Medicine? The Example of Cystic Fibrosis

open access: yesFrontiers in Pharmacology, 2017
The advent of the knowledge on human genetics, by the identification of disease-associated variants, culminated in the understanding of human variability. With the genetic knowledge, the specificity of the clinical phenotype and the drug response of each
Fernando A. L. Marson   +3 more
doaj   +1 more source

GEDI: Scalable Algorithms for Genotype Error Detection and Imputation [PDF]

open access: yesarXiv, 2009
Genome-wide association studies generate very large datasets that require scalable analysis algorithms. In this report we describe the GEDI software package, which implements efficient algorithms for performing several common tasks in the analysis of population genotype data, including genotype error detection and correction, imputation of both ...
arxiv  

Integrating sequencing datasets to form highly confident SNP and indel genotype calls for a whole human genome [PDF]

open access: yes, 2013
Clinical adoption of human genome sequencing requires methods with known accuracy of genotype calls at millions or billions of positions across a genome. Previous work showing discordance amongst sequencing methods and algorithms has made clear the need for a highly accurate set of genotypes across a whole genome that could be used as a benchmark.
arxiv   +1 more source

rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes [PDF]

open access: yesarXiv, 2022
Imaging genetic studies aim to find associations between genetic variants and imaging quantitative traits. Traditional genome-wide association studies (GWAS) are based on univariate statistical tests, but when multiple traits are analyzed together they suffer from a multiple-testing problem and from not taking into account correlations among the traits.
arxiv  

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