Multiple Sequence alignment (MSA) is a typical NP-Complete problem. Star alignment is an effective algorithm for MSA.
多序列比对(msa)是一个典型的NP完全问题,星比对是一种有效的多序列比对算法。
Pfam is a large collection of multiple sequence alignments and hidden Markov models covering many common protein families.
为一包含了许多多重序列校准,以及“隐藏式马尔科夫模型”的巨大集合,里面涵盖了许多常见的蛋白质家族。
The test result shows that the accuracy of MSA-GSA has improved and the algorithm is effective in multiple sequence alignment.
经测试MS A - GSA算法精度有大幅提高,证明该算法在解决多序列比对问题上是行之有效的。
If you have multiple electrons we can lose them in sequence.
如果你有成倍的电子,按照一定的次序失去它们。
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