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Sequence homologies statistical analysis

Statistical Analysis of Sequence Alignments Can Detect Homology... [Pg.280]

STATISTICAL ANALYSIS OF SEQUENCE ALIGNMENTS CAN DETECT HOMOLOGY... [Pg.173]

The computational approaches to predict protein structures from their amino acid sequences can be either empirical or knowledge-based. The former involves calculations of the energetically favorable structures by the use of the parameterized force fields (section 9.2) and the latter performs statistical analysis with references to the existing structures employing ranges of bioinformatic techniques (section 16.5). The comparative structural analysis leads to homologous models, which are then refined by energy minimization. [Pg.279]

See other pages where Sequence homologies statistical analysis is mentioned: [Pg.557] [Pg.55] [Pg.411] [Pg.192] [Pg.1754] [Pg.180] [Pg.403] [Pg.98] [Pg.91] [Pg.405] [Pg.541] [Pg.280] [Pg.518] [Pg.139] [Pg.351] [Pg.169] [Pg.314] [Pg.33] [Pg.85] [Pg.9] [Pg.99] [Pg.167] [Pg.186] [Pg.220] [Pg.174] [Pg.282] [Pg.49] [Pg.54] [Pg.171] [Pg.254] [Pg.466] [Pg.178] [Pg.113] [Pg.30] [Pg.284]

See also in sourсe #XX -- [ Pg.166 , Pg.168 ]

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Sequence analysis

Sequence homology

Sequencing analysis

Sequencing homology

Statistical analysis