Results 201 to 210 of about 53,444 (288)

PlantCTCIP: Chromatin Interaction Prediction Using Convolutional Neural Network and Transformer in Plants

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Chromatin interactions establish spatial proximity between distant regulatory elements and their target genes, significantly influencing gene expression, and phenotypic traits. In this study, we present a plant chromatin interaction prediction model called PlantCTCIP based on Convolutional Neural Networks and Transformer.
Zhenye Wang   +14 more
wiley   +1 more source

Challenges in Bringing Pangenome Research Into Breeding: A Case Study in Rice

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Crop breeding has entered the pangenomics era, unlocking a far more comprehensive view of genetic diversity than a single reference genome can capture. In rice (Oryza sativa), a staple crop critical to global food security, the construction of pangenome resources has uncovered extensive structural variations (SVs), presence/absence variations (
Shuai Nie   +7 more
wiley   +1 more source

Correction. [PDF]

open access: yesEpigenomics
europepmc   +1 more source

Deciphering Cold Stress Resilience: Multiomics Insights in Contrasting Wheat Genotypes From the Western Himalayas

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Cold stress threatens wheat productivity, particularly in regions with extreme climatic conditions. To elucidate the molecular mechanisms underlying wheat's response to cold stress, we performed a multiomics analysis integrating lipidomics, transcriptomics, proteomics and metabolomics.
Sofora Jan   +15 more
wiley   +1 more source

Single‐Cell CRISPR: An Efficient Strategy for Decoding Plant Cis‐Regulatory Complexity

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT The generation of complex traits involves the coordinated interplay of multiple gene networks. Elucidating the function of transcriptional cis‐regulatory elements (CREs) in regulating gene expression is crucial for understanding complex regulatory pathways and improving our ability to modify macro‐phenotypes.
Yuanhang Zhang   +5 more
wiley   +1 more source

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