7 research outputs found

    Additional file 3: Table S3. of Omni-PolyA: a method and tool for accurate recognition of Poly(A) signals in human genomic DNA

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    False positive and false negative rates comparison between DPS, DNN, and Omni-polyA derived by using different feature sets. (PDF 105 kb

    Additional file 6: Figure S3. of Omni-PolyA: a method and tool for accurate recognition of Poly(A) signals in human genomic DNA

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    DNA structural profiles of the PAS-weak variants. Each structural profile is the average over all sequences from the PAS-weak variants (10 PAS variants). These plots show the actual average values (y axis) over all sequences for each position (x axis). (PDF 2412 kb

    Additional file 4: Figure S1. of Omni-PolyA: a method and tool for accurate recognition of Poly(A) signals in human genomic DNA

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    Nucleotide distribution for PAS variants in the PAS-weak category. These plots show the frequency of nucleotides for true PAS sequences in the 10 variants from the PAS-weak category. (PDF 1696 kb

    Additional file 7: Table S4. of Omni-PolyA: a method and tool for accurate recognition of Poly(A) signals in human genomic DNA

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    DPS, HMM_SVM and DNN model parameters. Parameters were determined from the validation set. (PDF 87 kb

    Additional file 8: Table S5. of Omni-PolyA: a method and tool for accurate recognition of Poly(A) signals in human genomic DNA

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    Omni-PolyA model parameters. Genetic algorithm parameters and feature set configuration determined from the validation set. (PDF 89 kb

    Additional file 5: Figure S2. of Omni-PolyA: a method and tool for accurate recognition of Poly(A) signals in human genomic DNA

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    DNA structural profiles of the PAS-strong variants. These plots represent the 16 considered structural profiles. Each structural profile is the average over all sequences from the PAS-strong variants (AATAAA and ATTAAA). These plots show the actual average values (y axis) over all sequences for each position (x axis). (PDF 2541 kb
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