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Journal articles
Probabilistic Sequence Alignments: Realistic Models with Efficient Algorithms
Abstract : Alignment algorithms usually rely on simplified models of gaps for computational efficiency. Based on correspondences between alignments and structural models for nucleic acids, and using methods from statistical mechanics, we show that alignments with realistic laws for gaps can be computed with fast algorithms. Improved performances of probabilistic alignments with realistic models of gaps are illustrated. By contrast with optimization-based alignments, such improvements with realistic laws are not observed. General perspectives for biological and physical modelings are mentioned.
Cited literature [7 references]
https://hal-pasteur.archives-ouvertes.fr/pasteur-01570174
Contributor : Maya Um <>
Submitted on : Friday, July 28, 2017 - 3:51:58 PM
Last modification on : Monday, January 13, 2020 - 5:08:05 PM
Contributor : Maya Um <>
Submitted on : Friday, July 28, 2017 - 3:51:58 PM
Last modification on : Monday, January 13, 2020 - 5:08:05 PM