The phrase "alignment is possible" is correct and usable in written English.
It can be used in contexts where you are discussing the feasibility of achieving alignment in various situations, such as in teamwork, strategies, or goals.
Example: "After reviewing the project requirements, I believe that alignment is possible between our objectives and the client's expectations."
Alternatives: "alignment can be achieved" or "alignment is attainable."
The sequences were aligned by eye; due to the high interspecific variation in 28S, no definite alignment is possible and therefore, the phylogenetic information obtained from this gene is limited.
Alignment is possible when an organization's leaders intentionally create an environment where everyone feels comfortable participating, meaning every person's views and opinions are taken into consideration before making a decision.
Due to embedding in nonoverlapping blocks and the small size of the auxiliary data, the recovery of a fragment of the payload using a grid alignment is possible for the cropped images.
However, variation of alignment is possible.
Even if no significant alignment is possible, the program can resolve the taxonomy of any query using IMMs.
I rebel against the idea that, in a family of proteins so divergent no automated alignment is possible, "the GAGG motif is a transitional state between the GIGG and GANG variations".
Alignment was possible among 5 entity groups with similar therapeutic and diagnostic activity workflows.
Surprisingly, the CuZnSOD cytosolic isoform was not predicted by the LeARN pipeline and, even manually, no correct alignment was possible with HbmiR398.
If more than one alignment was possible the best match was reported according to the least number of mismatches for each read and overall for the pair.
In addition, alignment was possible even with the presence of redundant sequences (low-complexity sequences), and thus, comparisons that reveal high sequence identity and/or variation could be made.
For phylogenetic analyses we used the concatenated amino acid dataset of all protein-coding genes previously used by Fahrein et al. [ 36]; amino acid sequences were choosen since a more conservative and more unambiguous alignment was possible.
