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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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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
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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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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
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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
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Predicting disease using genomics

Nature, 2004
Information 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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Predicting structures for genome proteins

Current Opinion in Structural Biology, 1999
Assigning 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.
D, Fischer, D, Eisenberg
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Exon prediction in eucaryotic genomes

Biochimie, 1996
Two independent computer systems, NetPlantGene and AMELIE, dedicated to the identification of splice sites in plant and human genomes, respectively, are introduced here. Both methods were designed in relation to experimental work; they rely on automatically generated rules involving the nucleotide content of sequences regardless of the coding ...
Vignal, L.   +6 more
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Genomic selection: genome-wide prediction in plant improvement

Trends in Plant Science, 2014
Association 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, 2006
As 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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