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New multiple alignment benchmark databases include PREFAB, SABMARK, OXBENCH and IRMBASE.
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This comparison is achieved using standard multiple alignment benchmarking procedures.
We test accuracy using standard multiple alignment benchmarking methods [ 21, 22].
To benchmark our approach on protein sequences, we used BAliBASE 3.0, a standard benchmark database for multiple alignment (Thompson et al., 2005).
To test our method, we used standard benchmark databases for multiple alignment of protein and nucleic-acid sequences.
We show how this approach greatly reduces computation time and memory requirements for clustering large numbers of sequences and demonstrate the quality of the clusterings by benchmarking them as guide trees for multiple alignment.
A benchmark tree that has been constructed based on a multiple alignment.
The latest versions of 8 different multiple alignment programs (see below) were used to construct an alignment for each of the benchmark test sets.
The protein families used as benchmark test sets were selected to provide a variety of different multiple alignment problems (Figure 9).
Our benchmarks on k3 (Supplementary Fig. S1) suggest that this behavior extends to multiple alignment.
multiple alignment using fast Fourier transform.
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