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Transfer RNAs were predicted using tRNAscan (Lowe and Eddy 1997) and predictions were refined using TFAM (Ardell and Andersson 2006) and its bacterial tRNA models and two of three previously described methodologies (Silva et al. 2006), namely the phenogram analysis and the comparison with the three precompiled fMet (X), Met (M), and Ile (I) tRNA profiles.

Predictions were refined based on EST data from the organism of interest or related taxa when available.

The Syngenta predictions were refined by using a new program, BGF (Beijing Gene Finding), developed by the Gene Finding Team at BGI for gene identification in eukaryotic genomic DNA sequences.

The genome-wide miR-5364 target predictions for both parasites are provided in Additional file 5. To identify high confidence miR-5364 thegets, the large number of predictions were refined by first considering only those with PITA ΔΔG energies of < −7.

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To overcome the limitations in PSORTb, PA and ProtCompB, the predictions for proteins predicted by only one or two out of the three prediction methods (the non consensus vote) were refined by homology-based search using the DBSubloc database and structural annotation in GTD.

Alignments were refined manually.

Gene predictions have been refined over the past decade and now the majority of C. elegans genes have been experimentally verified.

To test whether the normalized-Hill model predictions can be refined further, we fit several parameters in the normalized-Hill model to time-course data from the biochemical model using a nonlinear least squares optimization algorithm (lsqnonlin in Matlab).

These analyses demonstrate that the normalized-Hill model largely captures key features of the more detailed biochemical model, that specific model discrepancies can be quantitatively explained by parameter differences, and that dynamic predictions can be refined by fitting relevant parameters to available data.

Though the SAMtools algorithm gave SNP calls of higher precision and recall than simple depth and quality rules, it is likely that with the high simultaneous coverage afforded by restriction-mediated enrichment, its predictions could be refined by combined evaluation of all accessions for a SNP.

As more trial specific accrual data becomes available, the prediction can be refined by bringing this data into the calculation.

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