An Approach towards Promoter Database Search Using Hidden Markov Model
A common task in bioinformatics is the comparison of biological sequences to probabilistic models in order to evaluate their similarity. In the proposed work we have made an attempt to classify the given query promoter sequence by comparing with the set of promoter sequences belonging to different p...
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Published in | Computer Networks and Information Technologies pp. 547 - 552 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
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Series | Communications in Computer and Information Science |
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Abstract | A common task in bioinformatics is the comparison of biological sequences to probabilistic models in order to evaluate their similarity. In the proposed work we have made an attempt to classify the given query promoter sequence by comparing with the set of promoter sequences belonging to different pathways. The promoter sequences are extracted from NCBI database and converted to motif (TFBS) sequences by using ‘TF SEARCH’ tool. A probabilistic model is developed for each motif sequence of the pathways considered and a database is created. Given query motif sequence is compared with all the sequences in the database and classified based on the log probability score obtained. |
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AbstractList | A common task in bioinformatics is the comparison of biological sequences to probabilistic models in order to evaluate their similarity. In the proposed work we have made an attempt to classify the given query promoter sequence by comparing with the set of promoter sequences belonging to different pathways. The promoter sequences are extracted from NCBI database and converted to motif (TFBS) sequences by using ‘TF SEARCH’ tool. A probabilistic model is developed for each motif sequence of the pathways considered and a database is created. Given query motif sequence is compared with all the sequences in the database and classified based on the log probability score obtained. |
Author | Meera, A. Rangarajan, Lalitha |
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Copyright | Springer-Verlag Berlin Heidelberg 2011 |
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DOI | 10.1007/978-3-642-19542-6_107 |
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Editor | Das, Vinu V Stephen, Janahanlal Chaba, Yogesh |
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PublicationSubtitle | Second International Conference on Advances in Communication, Network, and Computing, CNC 2011, Bangalore, India, March 10-11, 2011. Proceedings |
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Snippet | A common task in bioinformatics is the comparison of biological sequences to probabilistic models in order to evaluate their similarity. In the proposed work... |
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SubjectTerms | Expectation Maximization Hidden markov model maximum likelihood promoter sequence |
Title | An Approach towards Promoter Database Search Using Hidden Markov Model |
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