Results 11 to 20 of about 316,644 (265)

Ensemble AnalySis with Interpretable Genomic Prediction (EasiGP): Computational tool for interpreting ensembles of genomic prediction models [PDF]

The Plant Genome
An ensemble of multiple genomic prediction models has grown in popularity due to consistent prediction performance improvements in crop breeding. However, technical tools that analyze the predictive behavior at the genome level are lacking.
Shunichiro Tomura, Melanie J. Wilkinson, Owen Powell, Mark Cooper   +3 more
doaj   +2 more sources

Predicting the accuracy of genomic predictions [PDF]

Genetics Selection Evolution, 2021
Abstract Background Mathematical models are needed for the design of breeding programs using genomic prediction. While deterministic models for selection on pedigree-based estimates of breeding values (PEBV) are available, these have not been fully developed for genomic selection, with a key missing component being the ...
Dekkers, Jack C. M., Su, Hailin, Cheng, Jian   +2 more
openaire   +4 more sources

Genomic Prediction for Twin Pregnancies [PDF]

Animals, 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, Daniel J. Weigel, Brenda C. Fessenden, Dianelys Gonzalez-Peña, Natascha Vukasinovic, Anthony K. McNeel, Fernando A. Di Croce   +6 more
openaire   +3 more sources

Genomics-aided structure prediction [PDF]

Proceedings 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., Morcos, Faruck, Weigt, Martin, Hwa, Terence, Onuchic, Jose N.   +4 more
openaire   +3 more sources

Promoter prediction in the human genome [PDF]

Bioinformatics, 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]

BMC 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, Shizhong Xu, William M. Muir, Katy Martin Rainey   +3 more
openaire   +2 more sources

Prediction of operons in microbial genomes [PDF]

Nucleic Acids Research, 2001
Operon structure is an important organization feature of bacterial genomes. Many sets of genes occur in the same order on multiple genomes; these conserved gene groupings represent candidate operons. This study describes a computational method to estimate the likelihood that such conserved gene sets form operons.
M D, Ermolaeva, O, White, S L, Salzberg
openaire   +2 more sources

Protein structure prediction in genomics [PDF]

Briefings 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

Increased Accuracy of Genomic Prediction Using Preselected SNPs from GWAS with Imputed Whole-Genome Sequence Data in Pigs

Animals, 2023
Enhancing the accuracy of genomic prediction is a key goal in genomic selection (GS) research. Integrating prior biological information into GS methods using appropriate models can improve prediction accuracy for complex traits.
Yiyi Liu, Yuling Zhang, Fuchen Zhou, Zekai Yao, Yuexin Zhan, Zhenfei Fan, Xianglun Meng, Zebin Zhang, Langqing Liu, Jie Yang, Zhenfang Wu, Gengyuan Cai, Enqin Zheng   +12 more
doaj   +1 more source

Pre-selecting markers based on fixation index scores improved the power of genomic evaluations in a combined Yorkshire pig population

Animal, 2020
Combining different swine populations in genomic prediction can be an important tool, leading to an increased accuracy of genomic prediction using single nucleotide polymorphism (SNP) chip data compared with within-population genomic.
S. Ye, H. Song, X. Ding, Z. Zhang, J. Li
doaj   +1 more source