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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 and 22: Profiles F K L L S H C L L V F K A
Page 23 and 24: Hidden Markov Models I Hidden Marko
Page 25 and 26: Motif Construction Known motifs (pu
Page 27: Using Databases and Tools Based on
Page 31 and 32: Databases PROSITE Regular Expressio
Page 33: This presentation contains material

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