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DNA sequence alignment forms an important basis for bioinformatics. Developing accurate sequence alignment algorithms remains to be a very challenging computational problem. When applied to sequence alignment, the traditional ant colony algorithm is limited to aligning sequences of similar length and may cause a local optimum. An improved sequence alignment method based on the ant colony algorithm...
To accurately predict messenger RNA polyadenylation sites of the model plant Arabidopsis, we developed a new program using the method of High-Dimensional Space Points' Covering, based on Biomimetic Pattern Recognition Theory. Upon analysis of experimental data and comparing with the results produced by Support Vector Machine, it is demonstrated that our program is reliable and effective judged by...
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