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Genomics and the prediction of xenobiotic toxicity
Toxicology, 2002The systematic identification and functional analysis of human genes is revolutionizing the study of disease processes and the development and rational use of drugs. It increasingly enables medicine to make reliable assessments of the individual risk to acquire a particular disease, raises the number and specificity of drug targets and explains ...
Josef Gut, U. A. Meyer
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The Genomic Approach to Growth Prediction
Hormone Research in Paediatrics, 2007<i>Background:</i> A major objective when using recombinant human growth hormone (rhGH) in childhood is to attain the maximum sustained growth response that can be achieved in an individual child while avoiding adverse events and ensuring that biomarkers of response, such as insulin-like growth factor I (IGF-I), remain within acceptable ...
Clayton, P. E., Whatmore, A. J.
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Development of Genomic Prediction in Sorghum
Crop Science, 2018Genomic selection can increase the rate of genetic gain in plant breeding programs by shortening the breeding cycle. Gain can also be increased through higher selection intensities, as the size of the population available for selection can be increased by predicting performance of non‐phenotyped, but genotyped, lines.
Hunt, Colleen H. +4 more
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Predicting structures for genome proteins
Current Opinion in Structural Biology, 1999Assigning three-dimensional protein folds to genome sequences is essential to understanding protein function. Although experimental three-dimensional structures are currently available for only a very small fraction of these sequences, computational fold assignment is able to assign folds to 20-30% of the sequences in various genomes.
Daniel Fischer, David Eisenberg
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Fold Predictions for Bacterial Genomes
Journal of Structural Biology, 2001Fold assignments for newly sequenced genomes belong to the most important and interesting applications of the booming field of protein structure prediction. We present a brief survey and a discussion of such assignments completed to date, using as an example several fold assignment projects for proteins from the Escherichia coli genome.
Krzysztof Pawłowski +3 more
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Evaluation of Predictive Genomic Applications
2020The last fifteen years have seen the emergence of Public Health Genomics (PHG), a multidisciplinary field related to the effective and responsible translation of genome-based knowledge and technologies to improve population health. While at the beginning the main concern of PHG was that genetic/genomic applications should be evaluated rigorously before
Villari P. +3 more
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Genomic selection: genome-wide prediction in plant improvement
Trends in Plant Science, 2014Association analysis is used to measure relations between markers and quantitative trait loci (QTL). Their estimation ignores genes with small effects that trigger underpinning quantitative traits. By contrast, genome-wide selection estimates marker effects across the whole genome on the target population based on a prediction model developed in the ...
Zeratsion Abera Desta, Rodomiro Ortiz
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Prediction of Genomic Functional Elements
Annual Review of Genomics and Human Genetics, 2006As the number of sequenced genomes increases, the ability to deduce genome function becomes increasingly salient. For many genome sequences, the only annotation that will be available for the foreseeable future will be based on computational predictions and comparisons with functional elements in related species.
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Predicting disease using genomics
Nature, 2004Information from the human genome sequence will eventually alter many aspects of clinical practice. It will increase through our understanding of disease mechanisms, and guide the development of new drugs and therapeutic procedures. In the short term, however, knowledge of the genome will have a profound clinical impact on the diagnostic capability of ...
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Genome-Wide Association Studies and Genomic Prediction
20131. R for Genome-Wide Association Studies Cedric Gondro, Laercio R. Porto-Neto, and Seung Hwan Lee 2. Descriptive Statistics of Data: Understanding the Data Set and Phenotypes of Interest Sonja Dominik 3. Designing a Genome-Wide Association Studies (GWAS): Power, Sample Size, and Data Structure Roderick D. Ball 4.
Julius H. J. van der Werf +2 more
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