This article provides a systematic guide for researchers and biotech professionals on reconstructing Gene Regulatory Networks (GRNs) from plant transcriptome data.
This comprehensive guide provides researchers, scientists, and drug development professionals with an in-depth analysis of precision and recall metrics for evaluating Gene Regulatory Network (GRN) inference methods.
This article provides a comprehensive protocol for utilizing the GRF4-GIF1 fusion protein to significantly improve transformation efficiency in wheat (Triticum aestivum L.).
This article provides a comprehensive analysis of the GRF-GIF transcriptional co-activator complex, a critical regulator of pluripotency and shoot regeneration in plants.
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on employing Gas Chromatography-Mass Spectrometry (GC-MS) metabolomics for the analysis of plant secondary metabolites (PSMs).
This article provides a detailed, modern framework for the functional validation of candidate resistance genes in biomedical research.
This comprehensive guide explores FunctionAnnotator, a powerful bioinformatics tool for automated transcriptome annotation.
This article presents a comprehensive exploration of FEWheat-YOLO, a state-of-the-art deep learning model tailored for wheat spike detection—a critical task in precision agriculture for yield estimation and crop monitoring.
This article provides a comprehensive guide to implementing FAIR (Findable, Accessible, Interoperable, and Reusable) principles for plant phenotypic data, tailored for researchers, scientists, and drug development professionals.
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on applying FAIR principles to evaluate plant science data repositories.