Multiple Sequence Alignment based on Developed Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Multiple Sequence Alignment by Genetic Algorithm
In the previous research work using Genetic Algorithm (GA) to perform multiple sequence alignment [2], we observe that the gaps tend to group towards the rightmost ends of the aligned sequences for datasets with very long sequences, with similarity or with large number of sequences. This becomes problematic when the expected gap-blocks should be inserted in another location of the aligned seque...
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Genetic algorithms are relatively new optimization technique that can be applied to various problems, including those that are NP-hard. We have proposed a new web based tool MSA-GA (Multiple Sequence Alignment tool based on Genetic Approach) is developed for aligning the DNA sequences in order to find out the alignment of sequence. With this tool we have developed two different Genetic crossove...
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Multiple DNA sequence alignment is an important research topic of bioinformatics. In this paper, we present a new method for multiple DNA sequence alignment, based on genetic simulated annealing techniques, to choose the best cutting point set of the multiple DNA sequence set. The experimental results show that the proposed method gets higher scores and more match columns than the method presen...
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In this project we applied Genetic Algorithm (GA) to solve the problem of Multiple Sequence Alignment (MSA). MSA is one of the most useful tools in bioinformatics. It is widely used to identify conservation of protein domains, RNA secondary structure and classification of biological sequences. However, it is recognized as one of the most challenging tasks in bioinformatics. Most formulations of...
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MOTIVATION Multiple molecular sequence alignment is among the most important and most challenging tasks in computational biology. The currently used alignment techniques are characterized by great computational complexity, which prevents their wider use. This research is aimed at developing a new technique for efficient multiple sequence alignment. APPROACH The new method is based on genetic ...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2016
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9i2/84236