The results from the last experiment using even fewer participants and a new computer based method were less robust and needs to be investigated further.
Thus, the execution times of local-based methods are less than those of the global- and semi-global-based methods.
This performance improvement can be explained by the fact that the subspace-based methods are less sensitive to the heavily correlated coefficient by reason of the influence of noise subspace on higher-power signal eigenvectors becoming weaker while increasing more users.
However, these alignment-based methods are less effective for identifying remote similarities, e.g., identifying proteins from highly divergent or possibly new 7TMR families.
We were somewhat surprised that the GD-based methods, are less efficient at optimizing the transcription rate RMS error function than SA.
Note that there is no contradiction between higher concordance rates for Thunder and better variant finding with Unified Genotyper, because LD-based methods are less adept at finding variants with a lower minor allele frequency.
As likelihood-based methods are less prone to long branch attraction [ 79], placement, by these methods, of L. welshimeri in the L. monocytogenes/ L. marthii/ L. innocua clade suggests that this placement is correct.
Array-based capture has been used successfully and accurately to identify rare and common variants and identify candidate genes for monogenic diseases in small cohorts (Ng et al. 2009); however, the array-based methods are less scalable owing to the limitation of the number of probes that can be accommodated on the array and additional equipment and time required to process the microarrays.
Although similarity based methods are computationally less demanding, these methods have been criticized because the closest BLAST hit does not necessarily imply phylogenetic proximity [ 10].
Subsequently, HaploWalk based methods were used to identify regions of interest in each gene that remained significant at an FDR of less than 10%.
