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 ...
This course provides an overview of a range of resources and practical bioinformatic tools that are used in molecular biology. Scientists actively developing and applying bioinformatic tools in their ...
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