In order to understand the dynamic molecular changes during fruit development for different melon varieties, the research team has harvested melons at different maturing stages and different locations. RNA-sequencing (RNA-seq) data has been collected from both leaf and fruit samples. In this presentation, we review the challenges of analyzing such a complex RAN-seq dataset for extracting meaningful knowledge about melon fruit development. We have developed a bioinformatics analysis pipeline for analyzing RNA-seq data with complex temporal and spatial confounding factors, which can help detect dynamic changes in transcript profiles with the integrative analysis of metabolites to characterize melon fruit development.

RNA-sequencing analysis to study transcriptomic profile changes during melon fruit development

ACS Spring Meeting 2021

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.