Academic Publication Phylogenomics and the rise of the angiosperms
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Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries
Abstract We develop a method, SBayesRC, that integrates genome-wide association study (GWAS) summary statistics with functional genomic annotations to improve polygenic prediction...
Plant Disease: A Growing Threat to Global Food Security
The escalating global population has led to an increased demand for both quantity and quality in food production. Throughout history, plant diseases have posed significant threats to agricultural o...
OrthoDB and BUSCO update: annotation of orthologs with wider sampling of genomes
Abstract OrthoDB (https://www.orthodb.org) offers evolutionary and functional annotations of orthologous genes in the widest sampling of eukaryotes, prokaryotes, and viruses, extendi...
Simulating 500 million years of evolution with a language model
More than 3 billion years of evolution have produced an image of biology encoded into the space of natural proteins. Here, we show that language models trained at scale on evolutionary data can gen...
AlphaGenome: advancing regulatory variant effect prediction with a unified DNA sequence model
Deep learning models that predict functional genomic measurements from DNA sequence are powerful tools for deciphering the genetic regulatory code. Existing methods trade off between input sequence...
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What is the core focus of the research titled 'Phylogenomics and the rise of the angiosperms'?
This literature focuses on: AbstractAngiosperms are the cornerstone of most terrestrial ecosystems and human livelihoods1,2. A robust understanding of angiosperm evolution is required to explain their rise to ecological dominance. So far, the angiosperm tree of life has been...
What other academic literature is closely related to 'Phylogenomics and the rise of the angiosperms'?
Yes, highly correlated activity was mapped. An entry titled 'Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries' discusses this: Abstract We develop a method, SBayesRC, that integrates genome-wide association study (GWAS) summary statistics with functional g...
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