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Many alignment algorithm for DNA or protein sequences were proposed in 1980s, nonetheless, multiple sequence alignment is still a challenging question because of its computing intensity, which manifests with the advancement of the next-generation sequencing.
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Many alignment algorithms exist.
Many network alignment algorithms have been proposed in recent years and most of them focus on the pairwise alignment of PPI networks.
There are many network alignment algorithms published in literature, e.g., Græmlin [ 8], MRF based method [ 9], MNAligner [ 10], IsoRank [ 11, 12], IsoRankN [ 13], MI-GRAAL [ 14].
This section illustrates the MP-Align alignment algorithm.
Despite that, our method (like many other genome aligners) applies a global alignment algorithm to all inter-anchor segments, navely assuming that homology exists.
MUSCLE was chosen from among many different sequence alignment algorithms for development of the SCOPPI database.
Fourth, there are many other great alignment algorithms [ 2, 4- 12, 14, 19, 19, 20] that we did not compare.
Many different sequence alignment algorithms are available to perform such a complementarity search, but they are not optimal for the purpose of this process step by default.
These were then aligned using a global alignment algorithm [30].
Sequences were aligned using the MAFFT alignment algorithm.
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