Networks are powerful tools to uncover functional roles of genes in phenotypic variation at a
system-wide scale. Here, we constructed a maize network map that contains the genomic …

Transcriptome analysis is a valuable tool for identification and characterization of genes and
pathways underlying plant growth and development. We previously published a microarray …

Chromatin loops connect regulatory elements to their target genes. They serve as bridges
between transcriptional regulation and phenotypic variation in mammals. However, spatial …

Maize is an important model species and a major constituent of human and animal diets. It
has also emerged as a potential feedstock and model system for bioenergy research due to …

Phenotypic variation in natural populations results from a combination of genetic effects,
environmental effects, and gene-by-environment interactions. Despite the vast amount of …

Zea mays is an important genetic model for elucidating transcriptional networks.
Uncertainties about the complete structure of mRNA transcripts limit the progress of research …

Coexpression networks and gene regulatory networks (GRNs) are emerging as important
tools for predicting functional roles of individual genes at a system-wide scale. To enable …

One major objective for plant biology is the discovery of molecular subsystems underlying
complex traits. The use of genetic and genomic resources combined in a systems genetics …

Gene expression variation largely contributes to phenotypic diversity and constructing pan-
transcriptome is considered necessary for species with complex genomes. However, the …

In addition to single-nucleotide polymorphisms, structural variation is abundant in many
plant genomes. The structural variation across a species can be represented by a 'pan …