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Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Named after shotgun DNA sequencing, in which long DNA sequences are computationally reconstructed from many short sequencing reads, shotgun proteomics identifies proteins from tandem mass spectra of ...