Results 21 to 30 of about 2,453,732 (306)

Genomic Prediction for Twin Pregnancies [PDF]

open access: yesAnimals, 2021
Twinning is a multifactorial trait influenced by both genetic and environmental factors that can negatively impact animal welfare and economic sustainability on commercial dairy operations. To date, using genetic selection as a tool for reducing twinning rates on commercial dairies has been proposed, but not yet implemented.
Shaileen P. McGovern   +6 more
openaire   +3 more sources

Genomics-aided structure prediction [PDF]

open access: yesProceedings of the National Academy of Sciences, 2012
We introduce a theoretical framework that exploits the ever-increasing genomic sequence information for protein structure prediction. Structure-based models are modified to incorporate constraints by a large number of non-local contacts estimated from direct coupling analysis (DCA) of co-evolving genomic sequences.
Sulkowska, Joanna I.   +4 more
openaire   +3 more sources

Promoter prediction in the human genome [PDF]

open access: yesBioinformatics, 2001
Abstract Computational prediction of eukaryotic polII promoters has been one of the most elusive problems despite considerable effort devoted to the study. Researchers have looked for various types of signals around the transcriptional start site (TSS), viz.
Sridhar Hannenhalli, Samuel Levy
openaire   +2 more sources

Genomic prediction using subsampling [PDF]

open access: yesBMC Bioinformatics, 2017
Genome-wide assisted selection is a critical tool for the genetic improvement of plants and animals. Whole-genome regression models in Bayesian framework represent the main family of prediction methods. Fitting such models with a large number of observations involves a prohibitive computational burden. We propose the use of subsampling bootstrap Markov
Alencar Xavier   +3 more
openaire   +2 more sources

AGenDA: gene prediction by cross-species sequence comparison [PDF]

open access: yes, 2004
Taher L, Rinner O, Garg S, Sczyrba A, Morgenstern B. AGenDA: gene prediction by cross-species sequence comparison. Nucleic Acids Research. 2004;32(Web Server):W305-W308.Automatic gene prediction is one of the major challenges in computational sequence ...
Sczyrba, Alexander ; https://orcid.org/   +9 more
core   +1 more source

Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder [PDF]

open access: yes, 2015
Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk.
Caesar, Sian   +958 more
core   +2 more sources

Imputation of genotypes from low- to high-density genotyping platforms and implications for genomic selection [PDF]

open access: yes, 2011
peer-reviewedThe objective of this study was to quantify the accuracy achievable from imputing genotypes from a commercially available low-density marker panel (2730 single nucleotide polymorphisms (SNPs) following edits) to a commercially available ...
J.F. Kearney   +3 more
core   +1 more source

Selected traits for genomic prediction.

open access: yes, 2021
Selected traits for genomic prediction.
Guillaume P. Ramstein (5515949)   +3 more
core   +1 more source

Protein structure prediction in genomics [PDF]

open access: yesBriefings in Bioinformatics, 2001
As the number of completely sequenced genomes rapidly increases, including now the complete Human Genome sequence, the post-genomic problems of genome-scale protein structure determination and the issue of gene function identification become ever more pressing.
openaire   +2 more sources

Implications of avoiding overlap between training and testing data sets when evaluating genomic predictions of genetic merit [PDF]

open access: yes, 2010
The aim of this study was to evaluate and quantify the importance of avoiding overlap between training and testing subsets of data when evaluating the effectiveness of predictions of genetic merit based on genetic markers.
G. Banos   +3 more
core   +1 more source

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