RAP is a rank aggregation-based data fusion approach for gene prioritization in plants. It can be used to perform the gene prioritization in Arabidopsis thaliana and 28 non-plant species. The input of RAP are a set of genes of interest and the network-based gene prioritization results from AraNet v2 system, while the output are the ranks of candidate genes. RAP has been successfully applied to prioritize flowering-time genes in Arabidopsis. The genome-wide experimental results indicate that RAP can be used as a complement to the network-based gene prioritization algorithm (e.g., AraNet v2) for accurately prioritizing candidate genes underlying biological processes or agricultural traits.
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- Please cite the following article:
Zhai, J., Tang, Y., Yuan, H., Wang, L., Shang, H., Ma, C. (2016). A Meta-Analysis Based Method for Prioritizing Candidate Genes Involved in a Pre-specific Function Frontiers in Plant Science 7(), 1914. https://dx.doi.org/10.3389/fpls.2016.01914
Chuang Ma
Professor, Doctoral Supervisor
My research interests include artificial intelligence, abiotic stress and plant breeding.