Transcriptome profiling and weighted gene co-expression network analysis of early floral development in Aquilegia coerulea

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Gene co-expression network differential analysis is designed to help biologists understand gene expression patterns under different conditions. We have implemented an R package called MODA (Module Differential Analysis) for gene co-expression network differential analysis. Based on transcriptomic data, MODA can be used to estimate and construct condition-specific gene co-expression networks, an...

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A general framework for weighted gene co-expression network analysis.

Gene co-expression networks are increasingly used to explore the system-level functionality of genes. The network construction is conceptually straightforward: nodes represent genes and nodes are connected if the corresponding genes are significantly co-expressed across appropriately chosen tissue samples. In reality, it is tricky to define the connections between the nodes in such networks. An...

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Transcriptome Analysis and Gene Expression Profiling of Abortive and Developing Ovules during Fruit Development in Hazelnut

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Identification of conserved Aquilegia coerulea microRNAs and their targets.

Aquilegia is an emerging model organism that is phylogenetically intermediate between the core eudicot and monocot models, Arabidopsis and Oryza. In this study, we have used a comparative genomics approach to identify 45 Aquilegia microRNAs that comprise 20 separate plant microRNA families. We have predicted 84 targets of these newly identified Aquilegia microRNAs including transcription factor...

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ژورنال

عنوان ژورنال: Scientific Reports

سال: 2020

ISSN: 2045-2322

DOI: 10.1038/s41598-020-76750-7