Najla Ksouri

TL;DR: The transcriptomic resources generated in this study provide a broad characterization of the acclimation of P. persica to drought, shedding light on the major molecular responses to the most important environmental stressor.

TL;DR: In this article, a bottom-up approach for de novo motif discovery using peach (Prunus persica) as an example was described, and two motif discovery algorithms from RSAT::Plants (http://plants.rsat.eu) were tested.

TL;DR: RSAT (Regulatory Sequence Analysis Tools) enables the detection and the analysis of cis-regulatory elements in genomic sequences and develops a novel tool that builds or refine gene regulatory networks using motif scanning (network-interactions).

TL;DR: Taken together, existing genomic knowledge and tools may be used to confront the challenges of the development of peach varieties adapted to changing climate scenarios.

TL;DR: An accurate bottom-up approach using the online workbench RSAT::Plants for a versatile ab-initio motif discovery taking Prunus persica as a model is described and results indicate that small number of input sequences and short promoter length are preferential to minimize the amount of uninformative signals in peach.