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An algorithm based on data mining and knowledge discovery to detect HTH motifs in a given protein was designed.
We then scanned the neighborhoods with the 202 pre-selected TF motifs from TRANSFAC 12.1 [ 18] and de novo motif discovery to detect possible binding sites of these potential cofactors (see Methods).
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We performed a combined assembly of reads using MIRA, and then used GigaBayes, a short-read SNP and short indel discovery program, to detect polymorphisms.
Another necessary and informative step in protein biomarker discovery is to detect quantitative alterations of a protein in different disease and control conditions.
SWATH MS combines the strength of discovery proteomics to detect a high number of analytes with the favorable accuracy, dynamic range, sample throughput and reproducibility parameters of SRM.
The statistical power for a sample size of 1904 in the discovery cohort to detect a quantitative trait locus that explained ~2% variance in a RBC trait, was 80% at a significance level of 5×10−8.
Path recovery is used for the effective decrease of the packet loss and loop discovery is used to detect and avoid loops in the routing paths.
Li et al. [35] examined traffic data gathered from taxicabs over 24 days by applying the Temporal Outlier Discovery (TOD) concept to detect temporal outliers.
We compared each GS result against all DM2-associated genes in the way mentioned in the last paragraph, i.e., using hypergeometric distribution-based significance enrichment evaluation with Benjamini false-discovery rate correction, to detect functional gene subsets enriched by the selection.
Therefore, as new organisms are identified and disease mechanisms are increasingly linked to aberrant metabolic processes, the need for discovery-based tools to detect and elucidate the dynamics of cellular metabolism is becoming apparent.
The example shows that our motif discovery approach is able to detect known and novel motifs.
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