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Primary Article

A Bayesian Insertion/Deletion Algorithm for Distant Protein Motif Searching via Entropy Filtering

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Pages 409-420 | Published online: 31 Dec 2011

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Junfeng Liu, Liang Chen, Hongyu Zhao, Dirk F Moore, Yong Lin & Weichung Joe Shih. (2009) On calculating the probability of a set of orthologous sequences. Advances and Applications in Bioinformatics and Chemistry 2, pages 37-48.
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Articles from other publishers (7)

Thanh Le, Tom Altman & Katheleen Gardiner. (2010) HIGEDA: a hierarchical gene-set genetics based algorithm for finding subtle motifs in biological sequences. Bioinformatics 26:3, pages 302-309.
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Nak-Kyeong KimJun Xie. (2006) Protein Multiple Alignment Incorporating Primary and Secondary Structure Information. Journal of Computational Biology 13:10, pages 1735-1748.
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Nak-Kyeong KimJun Xie. (2006) Protein Multiple Alignment Incorporating Primary and Secondary Structure Information. Journal of Computational Biology 13:9, pages 1615-1629.
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D. Liu, X. Xiong, B. Dasgupta & H. Zhang. (2006) Motif Discoveries in Unaligned Molecular Sequences Using Self-Organizing Neural Networks. IEEE Transactions on Neural Networks 17:4, pages 919-928.
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Jun XieNak-Kyeong Kim. (2005) Bayesian Models and Markov Chain Monte Carlo Methods for Protein Motifs with the Secondary Characteristics. Journal of Computational Biology 12:7, pages 952-970.
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Derong Liu, Xiaoxu Xiong, Zeng-Guang Hou & Bhaskar DasGupta. (2005) Identification of motifs with insertions and deletions in protein sequences using self-organizing neural networks. Neural Networks 18:5-6, pages 835-842.
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Xiaoxu Xiong, Derong Liu & Huaguang Zhang. (2005) A self-organizing neural network approach for the identification of motifs with insertions and deletions in protein sequences. A self-organizing neural network approach for the identification of motifs with insertions and deletions in protein sequences.

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