REGENOMICS

REGENOMICS: Integrated transcriptome analysis platform for plant regeneration

REGENOMICS aggregates transcriptome datasets related to plant regeneration and enables integrated analysis of gene-expression dynamics, co-expression networks, gene-regulatory networks, single-cell expression profiles, and RNA-seq datasets.

Key Features:

• Data Integration: Aggregates transcriptome datasets associated with plant regeneration processes into a unified resource.
• Single- and Multi-query Analyses: Supports single-query and multi-query exploration of gene-expression dynamics across regeneration contexts and conditions.
• Network Analysis: Analyzes co-expression networks and gene-regulatory networks to characterize transcriptomic regulatory interactions.
• Single-cell Expression Profiling: Processes and analyzes single-cell expression profiles to resolve cell-type-specific transcriptional programs during regeneration.
• RNA-seq Dataset Analysis: Performs comprehensive RNA-seq dataset analyses to identify molecular interactions and pathway crosstalk underlying plant regeneration modes.

Scientific Applications:

• Plant Regeneration and Cellular Reprogramming: Identifies genetic components, molecular interactions, and gene-expression networks governing tissue regeneration and cellular reprogramming in plants.

Methodology:

REGENOMICS integrates bulk and single-cell transcriptome datasets related to plant regeneration and applies gene-expression quantification, single- and multi-query comparative analyses, co-expression network construction, and gene-regulatory network inference to characterize transcriptional dynamics and pathway interactions.