Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Finding common patterns, or motifs, from a set of DNA sequences is an important problem in molecular biology. Most motif-discovering algorithms/software require the length of the motif as input. Motivated by the fact that the motifs length is usually unknown in practice, Styczynski et al. introduced the extended (l,d)-motif problem (EMP), where the motifs length is not an input parameter. Unfortunately, the algorithm given by Styczynski et al. to solve EMP can take an unacceptably long time to run, e.g. over 3 months to discover a length-14 motif.  makes two main contributions. First,  eliminate another input parameter from EMP: the minimum number of binding sites in the DNA sequences. Fer input parameters not only reduces the burden of the user, but also may give more realistic/robust results since restrictions on length or on the number of binding sites make little sense when the best motif may not be the longest nor have the largest number of binding sites. Second,  develop an efficient algorithm to solve our redefined problem. The algorithm is also a fast solution for EMP (without any sacrifice to accuracy) making EMP practical.
['Henry C. M. Leung', 'Francis Y. L. Chin']
I am writing a research paper on a idea An efficient algorithm for the extended (l,d)-motif problem with unknown number of binding sites
[{"from": "human", "value": "I am writing a research paper on a idea An efficient algorithm for the extended (l,d)-motif problem with unknown number of binding sites"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Finding common patterns, or motifs, from a set of DNA sequences is an important problem in molecular biology. Most motif-discovering algorithms/software require the length of the motif as input. Motivated by the fact that the motifs length is usually unknown in practice, Styczynski et al. introduced the extended (l,d)-motif problem (EMP), where the motifs length is not an input parameter. Unfortunately, the algorithm given by Styczynski et al. to solve EMP can take an unacceptably long time to run, e.g. over 3 months to discover a length-14 motif.  makes two main contributions. First,  eliminate another input parameter from EMP: the minimum number of binding sites in the DNA sequences. Fer input parameters not only reduces the burden of the user, but also may give more realistic/robust results since restrictions on length or on the number of binding sites make little sense when the best motif may not be the longest nor have the largest number of binding sites. Second,  develop an efficient algorithm to solve our redefined problem. The algorithm is also a fast solution for EMP (without any sacrifice to accuracy) making EMP practical."}]