Integrated network analysis and effective tools in plant systems biology
A Fukushima, S Kanaya, K Nishida - Frontiers in plant science, 2014 - frontiersin.org
One of the ultimate goals in plant systems biology is to elucidate the genotype-phenotype
relationship in plant cellular systems. Integrated network analysis that combines omics data …
relationship in plant cellular systems. Integrated network analysis that combines omics data …
Gene expression classification for biomarker identification in maize subjected to various biotic stresses
Various diseases severely affect maize, leading to a significant reduction in yield and crop
quality. Therefore, the identification of genes responsible for tolerance to biotic stress is …
quality. Therefore, the identification of genes responsible for tolerance to biotic stress is …
Increase crop resilience to heat stress using omic strategies
Varieties of various crops with high resilience are urgently needed to feed the increased
population in climate change conditions. Human activities and climate change have led to …
population in climate change conditions. Human activities and climate change have led to …
Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …
challenges in maize breeding arising from climatic anomalies, there is a need for developing …
'Omics' approaches for crop improvement
The growing human population and climate change are imposing unprecedented
challenges on the global food supply [1]. To cope with these pressures, crop improvement …
challenges on the global food supply [1]. To cope with these pressures, crop improvement …
ZEAMAP, a comprehensive database adapted to the maize multi-omics era
As one of the most extensively cultivated crops, maize (Zea mays L.) has been extensively
studied by researchers and breeders for over a century. With advances in high-throughput …
studied by researchers and breeders for over a century. With advances in high-throughput …
[HTML][HTML] Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data
H Tong, Z Nikoloski - Journal of plant physiology, 2021 - Elsevier
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …
the breeding cycle in major crops relevant for sustaining present demands for food, feed …
A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize
W Zhu, X Miao, J Qian, S Chen, Q Jin, M Li, L Han… - Genome Biology, 2023 - Springer
Abstract Background Maize (Zea mays L.) is one of the most important crops worldwide.
Although sophisticated maize gene regulatory networks (GRNs) have been constructed for …
Although sophisticated maize gene regulatory networks (GRNs) have been constructed for …
comparative genomics and functional genomics analyses in plants
With rapidly developing sequencing technology and lower sequencing costs, over 500 plant
genomes have been sequenced since the first release of the Arabidopsis thaliana genome …
genomes have been sequenced since the first release of the Arabidopsis thaliana genome …
[PDF][PDF] MODAS: exploring maize germplasm with multi-omics data association studies
Exploiting crop germplasm with multi-omics data can greatly enhance the power of gene
discovery and interpret the genetic relations of genes. Here, we present MODAS (Multi …
discovery and interpret the genetic relations of genes. Here, we present MODAS (Multi …