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Pairwise Alignment Using HMMs: Probability Over Sequence Paths

This study explores the application of Hidden Markov Models (HMMs) for pairwise sequence alignment. Unlike traditional methods focusing on probabilistic distributions over all possible alignments, we calculate the full probability of sequences X and Y. The approach involves summing probabilities across all potential paths in the HMM framework, providing a robust mechanism for alignment. The implications for bioinformatics and computational biology are significant, enhancing our ability to model biological sequences more accurately.

jovanna-aglish
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Pairwise Alignment Using HMMs: Probability Over Sequence Paths

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  1. Pairwise alignment using HMMs Not a probabilistic distribution over all possible sequences 1

  2. qyj qyj

  3. The full probability of x and y, summing over all paths

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