Development of a platform for integrating genomic, transcriptomic, gene co-expression network, and gene regulatory network data in agronomically important plants.
The Plant Gene Discovery Platform is an open-source initiative focused on integrating genomic, transcriptomic, and regulatory data to accelerate the identification of biotechnologically relevant genes in non-model agricultural species. Designed for biotechnologists and bioinformaticians, the platform combines network analyses (such as gene co-expression networks and regulatory networks), providing a unified view of complex biological mechanisms, such as stress response. Its modular design allows continuous incorporation of public data (e.g., genomic annotations, SRA datasets) and computational tools, while APIs ensure interoperability between services, such as pipeline execution and database queries. With a focus on accessibility and reproducibility, the platform aims to overcome existing resource fragmentation, democratizing access to integrative analyses for agronomically significant species, such as soybean and eucalyptus.
A Deep Learning-Based Classification Approach for Identifying Transcription Factor Families Binding Regions in Plant Genomes.
ATLAS is a reproducible and scalable RNA-Seq analysis workflow for plants.
FLORES, Lorrana Verdi et al.. TITLE. In: X-Meeting presentations. Anais...João Pessoa(PB) Local, 2025. Available in: xmeeting-2025-number. Access in: 00/00/2025.
FLORES, Lorrana Verdi et al.. TITLE. In: X-Meeting presentations. Anais...João Pessoa(PB) Local, 2025. Available in: xmeeting-2025-number. Access in: 00/00/2025.