A short pattern search against a significantly large sequence database (e.g., metagenome data) is less time-consuming with respect to CPU time and much faster than performing the BLAST search algorithm against a 16S rRNA database.
This is significantly larger than previous template databases used in Alzheimer's disease, but was done in order to encompass a wide range of hippocampal pathologies.
This database is significantly larger than those used for testing in the majority of the aforementioned studies.
Therefore, one of the important contributions of this study is to construct a significantly large-scale gait database with a wide age variation and good balance of genders and age groups to allow the performance evaluation of gait-based age estimation in a more statistically reliable manner.
While other serotypes contribute to MDR, their numbers were not significantly large in our database.
Taking into account the absence of a significantly large yeast EST database, we use microarray expression data collected for genomic regions erroneously believed to be coding to study the expression pattern of non-coding regions in the Saccharomyces cerevisiae genome.
These two databases are significantly larger than those used in developing any of the existing debonding strength models and provide a solid basis for assessing the performance of such models.
Furthermore, since these databases are significantly larger, the chance of erroneous peptide matching is significantly increased and thus warrants manually evaluating each peptide mapping outside pre-defined open reading frame, especially when the peptide is infrequently detected in samples analyzed.
Despite the significantly larger number of non-cnidarian query sequences from the animal toxin database (6214) compared to cnidarian sequences from recent MS/MS studies and within the UniProt database (288), the number of matches was nearly even, with 26 identifications deriving from the UniProt database and 23 from cnidarian queries.
In the present study, the MDR values for fungicidal combination products were significantly larger than those of herbicidal products (as long as censored data were excluded) and almost half of the database consisted of fungicidal combinations.
