A new generation of homology search tools based on probabilistic inference.
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Summary
The aim in HMMER3 is to achieve BLAST's speed while further improving the power of probabilistic inference based methods, which aims to usher in a new generation of more powerful homology search tools based on probabilism inference methods.
- Type
- article
- Published
- 2009-10-01
- Cited by
- 1,364
- References
- 19
- OpenAlex
- https://openalex.org/W2137597742
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14259041
Keywords
Probabilistic logic, Inference, Computer science, Hidden Markov model, Statistical model
References
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- Hybrid alignment: high-performance with universal statistics
- The estimation of statistical parameters for local alignment score distributions.
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- Calibrating E-values for hidden Markov models using reverse-sequence null models
- Rapid Assessment of Extremal Statistics for Gapped Local Alignment
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- On the Problem of the Most Efficient Tests of Statistical Hypotheses
- The Pfam protein families database
- Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
- Studies in Probabilistic Sequence Alignment and Evolution
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