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The experimental results demonstrate the effectiveness and efficiency of the proposed ACO algorithm in dealing with the LCS problem for multiple biological sequences.
In this paper, we design a novel ant colony optimization (ACO) algorithm to find the approximate solution to the LCS problem for multiple biological sequences.
In this paper, we introduced EXMOTIF, an efficient algorithm to extract structured motifs within one or multiple biological sequences.
The MEA framework has been shown to be very effective in constructing accurate alignment of multiple biological sequences, making it one of the most popular approaches for sequence alignment.
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Besides simulated datasets, we tested our method using multiple sets of real biological sequences.
ClustalW is a multiple sequence alignment program for biological sequences, which attempts to calculate the best match for the selected sequences and lines them up so that the identities, similarities, and differences can be observed.
As described above, sequencing of (multiple) biological clones will guarantee that culture contamination, should it occur, will not result in misinterpretation of possible recombination.
Multiple options are provided in IBS, and biological sequences can be manipulated, recolored or rescaled in a user-defined mode.
Here, we present D-Tailor, an extendable framework supporting integration of multiple sequence analysis tools to mine and design biological sequences.
Transfac IDs are obtained from TRANSFAC database [ 37] Multiple motifs are often identified by iTriplet for real biological sequences.
A Multiple Sequence Alignment (MSA) is a sequence alignment of three or more biological sequences, generally protein, DNA, or RNA.
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