Results 141 to 150 of about 3,820,379 (274)

Using imputation-based whole-genome sequencing data to improve the accuracy of genomic prediction for combined populations in pigs

Genetics Selection Evolution, 2019
For genomic selection in populations with a small reference population, combining populations of the same breed or populations of related breeds is an effective way to increase the size of the reference population.
Hailiang Song, Shaopan Ye, Yifan Jiang, Zhe Zhang, Qin Zhang, Xiangdong Ding   +5 more
semanticscholar   +1 more source

Learning Genomic Structure from $k$-mers [PDF]

arXiv
Sequencing a genome to determine an individual's DNA produces an enormous number of short nucleotide subsequences known as reads, which must be reassembled to reconstruct the full genome. We present a method for analyzing this type of data using contrastive learning, in which an encoder model is trained to produce embeddings that cluster together ...
arxiv  

Genome sequencing of the sugarcane orange rust pathogen Puccinia kuehnii [PDF]

, 2019
Puccinia kuehnii, the causal agent of orange rust, is a fungal pathogen that causes damaging losses to the sugarcane crop in Florida since 2007. During plant infection, rust fungi deliver effector proteins into host tissues using a specialized feeding ...
Cano, L.M., Cardenas, D.E., Comstock, Jack C., Hincapie, Martha, Huguet-Tapia, J., Oppelaar, T.S., Rott, Philippe, Sood, Sushma   +7 more
core  

Predicting drug response of tumors from integrated genomic profiles by deep neural networks

, 2018
The study of high-throughput genomic profiles from a pharmacogenomics viewpoint has provided unprecedented insights into the oncogenic features modulating drug response.
Chen, Hung-I Harry, Chen, Yidong, Chiu, Yu-Chiao, Gorthi, Aparna, Huang, Yufei, Wang, Li-Ju, Zhang, Songyao, Zhang, Tinghe   +7 more
core   +1 more source

Genomic Prediction Using Low Density Marker Panels in Aquaculture: Performance Across Species, Traits, and Genotyping Platforms

bioRxiv, 2019
Genomic selection increases the rate of genetic gain in breeding programmes, which results in significant cumulative improvements in commercially important traits such as disease resistance.
Christina Kriaridou, S. Tsairidou, R. Houston, D. Robledo   +3 more
semanticscholar   +1 more source

Weighted Kernel Ridge Regression to Improve Genomic Prediction

Agriculture
Nonparametric models have recently been receiving increased attention due to their effectiveness in genomic prediction for complex traits. However, regular nonparametric models cannot effectively differentiate the relative importance of various SNPs ...
Chenguang Diao, Yue Zhuo, Ruihan Mao, Weining Li, Heng Du, Lei Zhou, Jianfeng Liu   +6 more
doaj   +1 more source

Genomic selection on cacao for disease resistance : S04T08 [PDF]

, 2013
Under favorable conditions, diseases can cause losses up to 100% in cacao. Breeding has been the most effective strategy in reducing these losses. However, breeding is limited by the: a) long generation time; b) large tree size (9 m2/tree); c) multiple ...
Clément, Didier, Gramacho, Karina Peres, Lanaud, Claire, Lopes, Uilson Vanderlei, Monteiro, Wilson Reis, Phillips-Mora, Wilbert, Pires, José Luis   +6 more
core  

Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

, 2018
New technologies have enabled the investigation of biology and human health at an unprecedented scale and in multiple dimensions. These dimensions include a myriad of properties describing genome, epigenome, transcriptome, microbiome, phenotype, and ...
Goldenberg, Anna, Hoffman, Michael M., Leskovec, Jure, Nguyen, Francis, Wang, Bo, Zitnik, Marinka   +5 more
core   +1 more source

A Comparative Genomics Approach to Prediction of New Members of Regulons [PDF]

, 2001
Kai Tan, Gabriel Moreno‐Hagelsieb, Julio Collado‐Vides, Gary D. Stormo   +3 more
openalex   +1 more source

Protein structure prediction in genomics [PDF]

, 2001
David T. Jones
openalex   +1 more source