2011/03/22 by Oscar Westesson, Gerton Lunter, Westesson, Oscar +5
Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #FOS: Biological sciences #Genomics (q-bio.GN) #Genomics and Phylogenetic Studies #Populations and Evolution (q-bio.PE) #Quantitative Methods (q-bio.QM) #RNA and protein synthesis mechanisms
paper · pdf · doi:10.48550/arxiv.1103.4347
openalex publication_date 2011/03/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
We present an extension of Felsenstein's algorithm to indel models defined on entire sequences, without the need to condition on one multiple alignment. The algorithm makes use of a generalization from probabilistic substitution matrices to weighted finite-state transducers. Our approach may equivalently be viewed as a probabilistic formulation of progressive multiple sequence alignment, using partial-order graphs to represent ensemble profiles of ancestral sequences. We present a hierarchical stochastic approximation technique which makes this algorithm tractable for alignment analyses of reasonable size.