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ProbCons: Probabilistic consistency-based multiple sequence alignment
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DOI：10.1101/gr.2821705.png)
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Abstract
En 中文
To study gene evolution across a wide range of organisms, biologists need accurate tools for Multiple sequence alignment of protein families. Obtaining accurate alignments, however, is a difficult computational problem because of not only the high computational cost but also the lack of proper objective functions for measuring alignment quality. In this paper, we introduce probabilistic consistency, a novel scoring function for multiple sequence comparisons. We present ProbCons, a practical tool for progressive protein multiple sequence alignment based oil probabilistic consistency, and evaluate its performance on several standard alignment benchmark data sets. On the BAHBASE, SABmark, and PREFAB benchmark alignment databases, ProbCons achieves statistically significant improvement over other leading methods while maintaining practical speed. ProbCons is publicly available as a Web resource.
Keywords:
PROTEIN-STRUCTURE ALIGNMENTS
STRUCTURE PREDICTION
DATABASE
SEARCH
SIMILARITIES
INFORMATION
ALGORITHM
ACCURACY
REGIONS
COFFEE
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