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The use of seeds can be a highly effective heuristic, and BWA can run faster by using a seeding mode that allows a certain number of mismatches in the initial part of the short read.
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By using a seeding-growth technique, the relative monodispersed CdSe/ZnS NCs were prepared.
By using a seed crystal, the high-temperature hexagonal close packed α-phase can be correctly oriented so that an aligned lamellar TiAl/Ti3Al microstructure results from the subsequent solid-state transformations upon cooling.
One of us has demonstrated previous success identifying gene candidates in development of rod photoreceptors by using a seed-network-based heuristic to query high throughput data [7], and this success motivated our efforts to further develop strategies to identify effective seed networks to query large datasets.
Some MD-based modelings avoid this problem by using a seed or template protein structure obtained under similar experimental conditions.
By using a seed network to query multiple retinal gene expression datasets we were able to identify candidate genes for further study related to rod photoreceptor development.
Reads were aligned by using a seed length of 50 bp, and only the single best alignment per read with up to two mismatches was reported in the SAM file.
The sensory-motor ICN was first demonstrated in fMRI by using a seed-based methodology [ 3], as was the prominent ICN known as the default mode network (DMN) [ 14] (see section B, 'Task-free functional magnetic resonance imaging Alzheimer's disease studies').
Therefore, we speculate that the effect of seed thickness can be ignored by using a thick seed layer.
In addition, highly crystalline of FER@FER, which was synthesized by using a FER seed, showed a higher DME conversion to MA and stability due to the abundant presence of Bronsted acid sites with less defect sites.
Mixed or hybrid strategies are also possible in which the SUs use the same algorithm to generate the CH sequences but the generated sequences are different (e.g., by using a random seed).
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