Patterns, Profiles, Domains and Motifs Theory - CNB - Protein ...

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PSI-BLAST II This profile is then used to search the database again, <strong>and</strong> any new significant hits are incorporated to the profile for further searches of the database. The process iterates an arbitrary number of times or until no new sequences can be found in the database.
Hidden Markov Models I Hidden Markov models (HMMs) are statistical models of sequences. They are similar to PSSMs, but the weights are calculated according to a probabilistic model that takes into account the previous positions.
Page 1 and 2: Motifs, Profiles and Domains Michae
Page 3 and 4: Sequence Analysis Aims To ide
Page 5 and 6: Hsc70 Actin DnaK FtsA Hexokinase Mr
Page 7 and 8: Why Function Prediction is Importan
Page 9 and 10: However, the relation between seque
Page 11 and 12: Clusters Clustering techniques aim
Page 13 and 14: Motifs Proteins from the same famil
Page 15 and 16: However HemK turns out to be the fi
Page 17 and 18: Domains Domains often are associate
Page 19 and 20: Consensus Sequences ALRDFATHDDF SMT
Page 21: Profiles F K L L S H C L L V F K A
Page 25 and 26: Motif Construction Known motifs (pu
Page 27 and 28: Using Databases and Tools Based on
Page 29 and 30: Searching for Remote Similarity wit
Page 31 and 32: Databases PROSITE Regular Expressio
Page 33: This presentation contains material

Patterns, Profiles, Domains and Motifs Theory - CNB - Protein ...

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