Probalign uses partition function posterior probability estimates to compute maximum expected accuracy multiple sequence alignments. It performs statistically significantly better than the leading alignment programs Probcons v1.1, MAFFT v5.851, and MUSCLE v3.6 on BAliBASE 3.0, HOMSTRAD, and OXBENCH benchmarks. Probalign improvements are largest on datasets containing N/C terminal extensions and on datasets with long and heterogeneous length sequences. On heteregeneous length datasets containing repeats Probalign alignment accuracy is 10% and 15% than the other three methods when standard deviation of length is at least 300 and 400.
Citation: U. Roshan and D. R. Livesay, Probalign: multiple sequence alignment using partition function posterior probabilities, Bioinformatics, 22(22):2715-21, 2006 (PDF)
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Last updated May 2010