The phrase "a potential alignment" is correct and usable in written English.
It can be used when discussing possible agreements, connections, or harmonies between different elements, ideas, or parties.
Example: "The team is exploring a potential alignment between their goals and the company's mission."
Alternatives: "a possible alignment" or "a prospective alignment."
State Route 85, currently the only non-freeway segment of the route connecting Phoenix with San Diego, is used as route for traffic to bypass the urban core of Phoenix, and has been identified by the state as a potential alignment of the CANAMEX Corridor through Arizona.
Each possible path through the alignment matrix represents a potential alignment for the two sequences.
Once a best set of fragments is found for a reference region, it is placed into a potential alignment to be completed as described below.
Future work should examine these issues in more detail, particularly in relation to a potential alignment of organisational and vendor priorities, and determine whether they have international relevance or reflect England's individual circumstances.
Furthermore, the Brown dataset used in my original report had ambiguously aligned regions removed [ 103], including all indels, essentially eliminating any potential alignment bias and resulting in a very high confidence alignment.
We next discard all potential alignments that contain a number of seed matches that falls below a user specified threshold (minMatch).
During the read mapping process, all potential alignments were retained, so that there was no algorithm used to pick the most likely source of each individual read.
CloudBurst parallelizes execution by seed, so each reducer evaluates all potential alignments for approximately 1/ N of the 4 s seeds, where N is the number of reducers.
If any of the remaining fragments from this reference region do not overlap on the query with any potential alignments already found in this region, they are used in another run of the graph algorithm.
For example, one simple way of aligning a sequence pair would be to score each potential alignment by assigning a "substitution score" to every aligned symbol pair and penalty scores for gaps and then find the optimal alignment that maximizes the overall score through dynamic programming [ 1].
We estimate the alignment confidence score by iteratively passing messages between neighboring symbol pairs, where each symbol pair (x i, y j ) corresponds to a potential symbol alignment in the true (unknown) sequence alignment between x and y.
