Parameter Advising for Multiple Sequence Alignment
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Beschreibung
Presents practical approaches to the pervasive question of how to choose parameter settings for sequence alignment
Provides links to proven software implementations that work well on real data
Introduces a general framework for parameter advising of broad utility in bioinformatics and beyond
Presents practical approaches to the pervasive question of how to choose parameter settings for sequence alignment Provides links to proven software implementations that work well on real data Introduces a general framework for parameter advising of broad utility in bioinformatics and beyond
Autor*in
Dan DeBlasio
Themen in »Parameter Advising for Multiple Sequence Alignment«
Bioinformatics Biological sequence analysis Multiple sequence alignment Protein sequence alignment Alignment accuracy Alignment scoring parameters Substitution matrices Gap penalties Refining alignments Machine learning Ensemble methods Computational complexity Approximation algorithms Linear programming Integer linear programming