Computational principles and challenges in single-cell data integration
The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …
multiple dimensions of cellular heterogeneity, enabling new insights into development …
Status and prospects of genome‐wide association studies in plants
Genome‐wide association studies (GWAS) have developed into a powerful and ubiquitous
tool for the investigation of complex traits. In large part, this was fueled by advances in …
tool for the investigation of complex traits. In large part, this was fueled by advances in …
A generalized linear mixed model association tool for biobank-scale data
Compared with linear mixed model-based genome-wide association (GWA) methods,
generalized linear mixed model (GLMM)-based methods have better statistical properties …
generalized linear mixed model (GLMM)-based methods have better statistical properties …
Convergent selection of a WD40 protein that enhances grain yield in maize and rice
W Chen, L Chen, X Zhang, N Yang, J Guo, M Wang… - Science, 2022 - science.org
A better understanding of the extent of convergent selection among crops could greatly
improve breeding programs. We found that the quantitative trait locus KRN2 in maize and its …
improve breeding programs. We found that the quantitative trait locus KRN2 in maize and its …
GAPIT version 3: boosting power and accuracy for genomic association and prediction
Genome-wide association study (GWAS) and genomic prediction/selection (GP/GS) are the
two essential enterprises in genomic research. Due to the great magnitude and complexity …
two essential enterprises in genomic research. Due to the great magnitude and complexity …
The barley pan-genome reveals the hidden legacy of mutation breeding
Genetic diversity is key to crop improvement. Owing to pervasive genomic structural
variation, a single reference genome assembly cannot capture the full complement of …
variation, a single reference genome assembly cannot capture the full complement of …
rMVP: a memory-efficient, visualization-enhanced, and parallel-accelerated tool for genome-wide association study
Along with the development of high-throughput sequencing technologies, both sample size
and SNP number are increasing rapidly in genome-wide association studies (GWAS), and …
and SNP number are increasing rapidly in genome-wide association studies (GWAS), and …
Computationally efficient whole-genome regression for quantitative and binary traits
Genome-wide association analysis of cohorts with thousands of phenotypes is
computationally expensive, particularly when accounting for sample relatedness or …
computationally expensive, particularly when accounting for sample relatedness or …
[HTML][HTML] GWAS: fast-forwarding gene identification and characterization in temperate cereals: lessons from barley–a review
Understanding the genetic complexity of traits is an important objective of small grain
temperate cereals yield and adaptation improvements. Bi-parental quantitative trait loci …
temperate cereals yield and adaptation improvements. Bi-parental quantitative trait loci …
A resource-efficient tool for mixed model association analysis of large-scale data
The genome-wide association study (GWAS) has been widely used as an experimental
design to detect associations between genetic variants and a phenotype. Two major …
design to detect associations between genetic variants and a phenotype. Two major …