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The SYFPEITHI database of MHC ligands and peptide motifs [16] contains no externally imposed bias with respect to protein cellular location, thus making it an ideal data set for investigating the presence of biological bias in proteins containing MHC class I or II ligands.
We note that the ideal data set to train and test our forecasting model is one that consists of several years worth of patient-level and arrival data.
The calibrated time of all gene pairs in this data set makes it an ideal data set for understanding evolution of gene duplications.
A highly organised programme such as the NHS BCSP provides an ideal data set for interrogation and analysis to refine and improve its own programme and others.
The ideal data set for genomic-based microbial studies of any given ecosystem, including those associated with animals, including humans, is a complete genome for every organism at a given time in the ecosystem.
To validate the cutpoint and determine whether EGFR was truly predictive vs prognostic, the ideal data set would be one where some HER2-positive women were treated with chemotherapy alone and others were treated with chemotherapy plus trastuzumab.
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Ideal data sets for this aim are available from the CASP contests.
Taking the ideal data sets generated by simulations into account, the number of loci we recommend to be used for RCAs are the minimum for best case data sets, meaning that researchers should estimate the error rate of their data and its impact on analyses.
The 3 Mbp data-set, based on LCBs common to all taxa, represents a very complete, ideal data-set; approximately one-third of the genome (spread over the whole genome; Figure 1) for which all taxa have data.
Third, an ideal HGT data set should contain genes with quantitatively different transferabilities to a recipient so that the quantitative impact of a factor can be detected.
We therefore consider the 1000 Genomes data as an ideal test data set to evaluate the scalability and performance of canvasDB for storage and analysis of the data from large-scale WGS projects.
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