Sentence examples for overlap detection from inspiring English sources
Our error correction scheme uses transitive overlaps to improve overlap detection sensitivity, and then creates multiple alignments of the reads in order to detect false overlaps by looking for excessive or correlated errors (a signature of repeated sequence).
After presenting an overview of such method and of overlap detection in systems of hard spherocylinders, the application of the method for granular systems is discussed.
The models suggest that positive downstream consequences of mimicry may depend upon self-other overlap, detection of contingency or low prediction error.
Therein, the non-overlap constraint for all the embedded holes is imposed as a single explicit integral constraint over the design domain, thus avoiding the difficulties in the overlap detection of multiple arbitrary-shaped geometries.
After the matching algorithm returns all possible detections and their scores, an overlap detection algorithm is executed where all those matches that overlap with each other more than 50% of the detection time are post-processed by keeping the detection with the highest score (i.e., the lowest distance) in the output file along with the non-overlapped detections.
This step effectively localizes the overlap detection and assembly problem by restricting the set of possible overlaps for reads to those reads within nearby clones.
The latent membrane protein (LMP) -1 and -2 transcripts are not detected, although overlapping detection of BNLF2a/b at the 3'-end of LMP1 reduces our ability to confidently assess LMP1 expression status.
Residual heme repression of PrrF expression in the ΔhemO mutant is likely due to overlapping detection of the PrrH RNA by this primer-probe set, as well as effects from contaminating iron in the heme preparation.
After selecting miRNAs with consistent signal detection i.e. with overlapping detection in the homologous and heterologous approach (discarding of porcine specific sequences), 13 miRNAs were selected for correlation analysis between both approaches.
Finally, we remove spatially overlapping detections at the same temporal location, using non-maximum suppression.
A naïve sliding window detector which passes image patches to the classifier and merges overlapping detections is used to scan facade images.
