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Putting some MUSCLE in Sequence Alignment
The Scientist 2004, 18(19):38
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Bioinformatics researchers who perform alignments of long protein sequences face a difficult choice: They can get accurate results in hours (sometimes days), or quick results if they're willing to sacrifice accuracy. Now, Robert C. Edgar, an independent researcher in Mill Valley, Calif., has an alternative: a sequencing algorithm that delivers both high accuracy and speed. Edgar calls his new algorithm MUSCLE (multiple sequence comparison by log expectation).
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