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It implements the forward search algorithm.
The composition problem is addressed by a forward search algorithm.
The composition module's forward search now enters its search loop.
The forward search method [22] proved to be superior.
In order to effectively approximate the LMS optimization, the forward search technique is utilized.
The algorithm performs a forward search from a selected output point to all accessible points.
Both the forward search algorithm of Atkinson (1994) and the fast algorithm of Neykov et al.
For this reason, the proposed method follows the forward search strategy.
For solving the composition problem on the symbolic level, we applied a forward search algorithm.
The service composition module implements a breadth-first forward search algorithm [20].
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To overcome the limitations of this straight-forward search, we also translated both the contigs and singlets derived from the EST analysis as described above in all six frames and again extracted all stop-to-stop ORFs and added these peptides to the second database.
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