bioRxivBioinformatics
WMP: A novel comprehensive wheat miRNA database, including related bioinformatics software
Mohamed Amine Remita, Etienne Lord, Zahra Agharbaoui, Mickael Leclercq, Mohamed Badawi, Vladirmir Makarenkov, Fathey Sarhan, Abdoulaye Banire Diallo
Abstract
MicroRNAs (miRNAs) are emerging as important post tran-scriptional regulators that may regulate key plant genes responsible for agronomic traits such as grain yield and stress tolerance. Several studies identified species and clades specific miRNA families associated with plant stress regulated genes. Here, we propose a novel resource that provides data related to the expression of abiotic stress responsive miRNAs in wheat, one of the most important staple food crops. This database allows the query of small RNA libraries, including in silico predicted wheat miRNA sequences and the expression profiles of small RNAs identified from those libraries. Our database also provides a direct access to online miRNA prediction software tuned to de novo miRNA detection in wheat, in monocotyledon clades, as well as in other plant species. These data and software will facilitate multiple comparative analyses and reproducible studies on small RNAs and miRNA families in plants. Our web-portal is available at: http://wheat.bioinfo.uqam.ca.
- organism: plant (other)
- assay: DNA methylation
- assay: proteomics
- research focus: database / resource
- research focus: gene regulatory network inference
- research focus: variant calling
- approach: deep learning
- approach: statistical model
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