Results 271 to 280 of about 542,878 (302)
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[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

Genomics: A gut prediction

Nature, 2013
Microbial cells make up the majority of cells in the human body, and most of these reside in the intestinal tract. Researchers have long recognized that some intestinal microorganisms are associated with health, but the beneficial impact of most of the gut's microbes on human metabolism has been discovered only relatively ...
de Vos, W.M., Nieuwdorp, M.
openaire   +2 more sources

Genome-Wide Association Studies and Genomic Prediction

2013
1. 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.
openaire   +1 more source

Genomic risk prediction

The Lancet, 2010
Manjinder, Sandhu   +2 more
openaire   +2 more sources

Circulating tumor DNA in advanced solid tumors: Clinical relevance and future directions

Ca-A Cancer Journal for Clinicians, 2021
Michael L Cheng   +2 more
exaly  

Modern developments in germline pharmacogenomics for oncology prescribing

Ca-A Cancer Journal for Clinicians, 2022
Peter H O'donnell, Natalie M Reizine
exaly  

Genomic Prediction in Barley

2015
Genomic prediction uses markers (SNPs) across the whole genome to predict individual breeding values at an early growth stage potentially before large scale phenotyping. One of the applications of genomic prediction in plant breeding is to identify the best individual candidate lines to contribute to next generation.
Edriss, Vahid   +5 more
openaire   +2 more sources

GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction

Genomics, Proteomics and Bioinformatics, 2021
Jiabo Wang, Zhi-Wu Zhang
exaly  

Genome-wide autism prediction

AIP Conference Proceedings, 2022
R. Uma   +3 more
openaire   +1 more source

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