In addition, our data are generated using more than 10,000-fold more complex library, allowing analysis of longer dimeric motifs and more complex binding modes (e.g., secondary motifs and dinucleotide preferences).
A further improved Poisson score can be generated using a more elaborate λnull, accounting for the full metabolite degree distribution.
This curve can be generated using no more than 16 numbers, does not violate the normal bounds of probability, is not affected by Runge;s phenomenon, and preserves the total risk in each age band.
Based on these results, a new complex model was generated using HADDOCK for more detailed insights into the interaction between FUNDC1 Ser13 and LC3B (Fig. 6F).
Prior to the hypotheses generation process, the conformational model of the training set compounds was generated using Discovery Studio with the more exhaustive 'BEST' quality and a maximum number of 255 conformations per molecule.
The data that is generated using this model is more ideal than real-life microarray data, since it does not include any covariance terms.
Networks of gene associations (co-expression, co-localization, genetic interaction, pathway, and more) were generated using the GeneMANIA Cytoscape plugin as described previously (Montojo et al., 2010).
Network of gene-disease associations (altered expression, casual mutation, genetic variation, marker, and more) were generated using DisGeNET Cytoscape plugin as described previously (Bauer-Mehren et al., 2010).
This map harbouring 97 RFLP markers in 24 groups of two or more was generated using a selfed guineensis cross.
The network was generated using only haplotypes that occurred more than once for network clarity, transversions were weighted, and the value of epsilon was varied to ensure that the optimal tree was produced (Fluxus Technology Inc. 2008, Suffolk, England).
