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HMMerge: An ensemble method for multiple sequence alignment
Minhyuk Park
,
Tandy Warnow
Siebel School of Computing and Data Science
Mathematics
Statistics
Coordinated Science Lab
Unit for Criticism and Interpretive Theory
Evolution, Ecology, and Behavior
Entomology
National Center for Supercomputing Applications (NCSA)
Carl R. Woese Institute for Genomic Biology
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Dive into the research topics of 'HMMerge: An ensemble method for multiple sequence alignment'. Together they form a unique fingerprint.
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Keyphrases
Multiple Sequence Alignment
100%
Short Sequence
100%
Ensemble Methods
100%
Sequence Length
66%
Alignment Method
33%
Method Development
33%
Large Deletion
33%
Sequencing Technology
33%
Profile HMM
33%
Input Sequence
33%
Computer Science
Sequence Alignment
100%
Ensemble Method
100%
Vertebral Column
100%
Sequence Length
50%