The phrase "alignment so that" is correct and usable in written English.
It can be used when discussing the purpose or result of aligning two or more elements to achieve a specific outcome.
Example: "We need to ensure proper alignment so that the components function effectively together."
Alternatives: "alignment in order to" or "alignment for the purpose of".
In a later period the Serapeum in Alexandria was also said to have contained a solar alignment so that, on a specific sunrise, a shaft of light would pass across the lips of the statue of Serapis thus symbolising the Sun saluting the god.
It is therefore generally assumed that trimming the alignment, so that poorly aligned regions are eliminated, increases the accuracy of the resulting MSA-based applications (Talavera and Castresana, 2007).
Also, a planetary system must have the correct alignment so that a planet's orbital plane will pass in front of its star.
In this paper, the In2O3 nanostructures in Figure 1 are in random alignment so that the height of emitter is difficult to measure.
Worst of all, the inner and outer shells can get out of alignment, so that when the upper floor starts to rise, it binds against the lower.
The movement is also partly constructed from titanium, holding the gears in absolute alignment so that the flyback chronograph, an instantly resettable stopwatch, will always time laps flawlessly on the race track.
In such cases, mappers need to produce accurate alignments so that true mutations can be detected.
This can be viewed in conjunction with the BamView read alignments so that layers of information can be harnessed to elucidate sequence detail.
Gaps were excluded from these alignments so that only blocks of ungapped residues bounded by similar or identical amino acids were used in phylogenetic analyses.
We created restricted alignments at the x%-level, i.e. sequences were discarded from each of these alignments so that the minimum percent identity from any sequence to the seed was at least x%.
Second, the divide-and-conquer approach used in DACTAL produces small densely sampled subsets containing sequences that tend to be very similar; these features increase the accuracy of estimated alignments, so that ML trees computed on these subset alignments tend to be more accurate than ML trees computed on alignments estimated on the full dataset.
