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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Zhai J, Tang Y, Yuan H, et al. A Meta-Analysis Based Method for Prioritizing Candidate Genes Involved in a Pre-specific Function:[J]. Front Plant Sci, 2016, 7:1914.