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The first step built clusters of sequences sharing at least 75 bp with an identity rate of 96% using MegaBlast [ 74].
The first step built clusters of all 5,025 sequences from the M/F db and publicly available ovine ESTs, sharing at least 75 bp at an identity rate of 96% using MegaBlast.
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Each step builds on what you've already discovered.
Hence, this step builds on and is only as good as the information collated in the previous component I.
In the first step, computes all the suffixes along with their frequency of occurrences and in the second step, builds probabilistic generalized suffix tree.
The static scene sprite construction step builds a global sprite during the view synthesis process by collecting texture and depth information of the static scene from temporal frames.
Each step builds out the image further, and each choice of cropping determines the form of the pattern.
The refinement step builds a set of core representatives by comparing the authority profiles of all members (except members from proteomes with multiple representatives) with the chief authority.
Each step builds on the previous steps, using progressively more sophisticated statistical methods.
Consensus-formation techniques require that each step builds on the results of the previous steps.
The predictive step builds a PWM from all the subsequences except one.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com