Data from: Evaluating statistical multiple sequence alignment in comparison to other alignment methods on protein data sets

Michael Nute, Ehsan Saleh & Tandy Warnow
The estimation of multiple sequence alignments of protein sequences is a basic step in many bioinformatics pipelines, including protein structure prediction, protein family identification, and phylogeny estimation. Statistical co-estimation of alignments and trees under stochastic models of sequence evolution has long been considered the most rigorous technique for estimating alignments and trees, but little is known about the accuracy of such methods on biological benchmarks. We report the results of an extensive study evaluating the...
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