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BMC Bioinformatics | Full text | Dinucleotide controlled null models for comparative RNA Gene Prediction
Requirements for an accurate null model An optimal null model preserves all the features of the original data with the exception of the signal under question that needs to be removed efficiently. In our case, the data are multiple alignments of homologous sequences and the signal of interest is an evolved RNA secondary structure.
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