Sentence examples for based on merge from inspiring English sources

Out of the variety of different approaches [see Boytsov (2011a) for a detailed taxonomy] proposed for approximate string matching, current read mappers rely on only three different paradigms (Li and Homer, 2010): seed-and-extend (encompassing hash tables and q-gram filtering), prefix/suffix tries (using the Burrows–Wheeler transform) and one approach based on merge sort (Malhis and Jones, 2010).

The implemented algorithm, which is based on Merge and Sort approach, has a complexity of n·log(n) (with n being the length of the vector to sort).

Nationwide registry-based study based on merged data from the Norwegian Prescription Database, the Norwegian Population Registry, the Regular General Practitioner Database and the Medical Birth Registry.

Our design was based on merging pharmacophores previously reported to exhibit COX-2 inhibitory activities to a thioquinazolinone-privileged scaffold.

This algorithm is based on merging sequentially the runs of two algorithms: the principal component analysis (PCA) and the independent component analysis (ICA) algorithms.

The IAS operation is based on merging the functional advantages of the adaptive reclosing technique (ART) and the optimal reclosing technique (ORT).

For the evaluation, we do not report on the accuracy of each test set separately, but report on the total accuracy based on merging of the test scores with different quality settings.

A downscaling of the DSSF product is also carried out, and a methodology to obtain topographically-corrected daily irradiation images, based on merging the DSSF with a digital elevation model, is proposed.

The methodology is based on merging the sample segment with plugs of an oxidant (hydrogen peroxide) and the luminol solution in alkaline medium at a total flow rate as high as 25 ml min−1 through a four-way junction point placed as close as possible to the photosensor module.

The authors of this method carefully constructed various sets of yeast proteins of known localization based on merging, filtering, and standardizing the annotations in MIPS(Munich Information Center for Protein Sequences) [25] [27], Swiss-Prot and YPD(Yeast Protein Database) [28], and trained and tested this system against these sets [1].

The new tool presented in this article achieves such goals, based on merging and warping of brain autoradiograms prepared from mice belonging to the same experimental group, and aimed at the unbiased identification of regions of interest combined with 3D reconstruction.