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Microbiome genomics for cancer prediction

Nature Cancer, 2020
Although cancer genomics is a powerful tool to understand cancer and develop diagnostic tools, the contribution of the microbiome in cancer diagnosis and clinical assessment is much less studied. Elinav, Greten and colleagues provide their respective views on how studying cancer metagenomes could facilitate identification, diagnosis and staging of ...
Adlung, Lorenz   +3 more
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Genomic prediction

2020
Genomic prediction is transforming animal and plant breeding and its utility to predict human disease risk is being explored. The method aims to predict an individual’s future phenotype based on only a DNA test. This lecture will introduce genomic prediction, including the basic concepts, main statistical models, validation strategies, and method ...
Fazel Almasi, Daetwyler, Hans, Zibei Lin
openaire   +1 more source

SIFT missense predictions for genomes

Nature Protocols, 2015
The SIFT (sorting intolerant from tolerant) algorithm helps bridge the gap between mutations and phenotypic variations by predicting whether an amino acid substitution is deleterious. SIFT has been used in disease, mutation and genetic studies, and a protocol for its use has been previously published with Nature Protocols.
Robert Vaser   +4 more
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Genomics and the prediction of xenobiotic toxicity

Toxicology, 2002
The 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 ...
Urs-A, Meyer, Josef, Gut
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Predictive Genomic Biomarkers

2010
Advances in the biological characterization of tumors has led to the design and development of anticancer agents targeting specific molecular alterations. The majority of these agents are designed to silence phosphorylation signals that are required for the development and maintenance of the cancer phenotype in specific tumor types.
Rakesh, Kumar, Rafael G, Amado
openaire   +2 more sources

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.
openaire   +1 more source

Development of Genomic Prediction in Sorghum

Crop Science, 2018
Genomic 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
openaire   +3 more sources

[Prediction of transcription and genomic sequences].

Medecine sciences : M/S, 2004
Technological developments have enhanced DNA sequencing at genomic scale. On the basis of the resulting sequences, computational biologists now attempt to localise the most important functional regions, starting with genes, but also importantly the regulatory motifs and conditions controlling their expression.
Martin, David   +2 more
openaire   +3 more sources

Fold Predictions for Bacterial Genomes

Journal of Structural Biology, 2001
Fold 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.
K, Pawlowski   +3 more
openaire   +2 more sources

Evaluation of Predictive Genomic Applications

2020
The 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
openaire   +2 more sources

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