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Direct coupling analysis or DCA is an umbrella term comprising several methods for analyzing sequence data in computational biology. The common idea of these methods is to use statistical modeling to quantify the strength of the direct relationship between two positions of a biological sequence, excluding effects from other positions. This contrasts usual measures of correlation, which can be large even if there is no direct relationship between the positions (hence the name direct coupling analysis). Such a direct relationship can for example be the evolutionary pressure for two positions to maintain mutual compatibility in the biomolecular structure of the sequence, leading to between the two positions.DCA has been used in the inference of protein residue contacts, RNA structure predict

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rdfs:label	Direct coupling analysis (en)
rdfs:comment	Direct coupling analysis or DCA is an umbrella term comprising several methods for analyzing sequence data in computational biology. The common idea of these methods is to use statistical modeling to quantify the strength of the direct relationship between two positions of a biological sequence, excluding effects from other positions. This contrasts usual measures of correlation, which can be large even if there is no direct relationship between the positions (hence the name direct coupling analysis). Such a direct relationship can for example be the evolutionary pressure for two positions to maintain mutual compatibility in the biomolecular structure of the sequence, leading to between the two positions.DCA has been used in the inference of protein residue contacts, RNA structure predict (en)
dbp:wikiPageUsesTemplate	dbt:Reflist
Subject	Bioinformatics
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Direct_coupling_analysis?oldid=1040884724&ns=0
Wikipage page ID	50890026 (xsd:integer)
page length (characters) of wiki page	22516 (xsd:nonNegativeInteger)
Wikipage revision ID	1040884724 (xsd:integer)
Link from a Wikipage to another Wikipage	Normal distribution Prior probability Protein complex Protein contact map Protein family Protein structure Protein structure prediction Protein–protein interaction Amino acid Belief propagation Biomolecular structure Monomer Sequence (biology) Sequence alignment Statistical model Categorical variable Bioinformatics Mutual information Phylogenetical Potts model Principle of maximum entropy Pseudolikelihood Computational biology Correlation Covariance Entropy (information theory) Fitness landscape Evolutionary pressure Lagrange multiplier Ising model Likelihood function Matrix norm Maximum likelihood estimation Mean-field theory Multiple sequence alignment Network topology RNA Regularization (mathematics) dbr:Molecular_coevolution
has abstract	Direct coupling analysis or DCA is an umbrella term comprising several methods for analyzing sequence data in computational biology. The common idea of these methods is to use statistical modeling to quantify the strength of the direct relationship between two positions of a biological sequence, excluding effects from other positions. This contrasts usual measures of correlation, which can be large even if there is no direct relationship between the positions (hence the name direct coupling analysis). Such a direct relationship can for example be the evolutionary pressure for two positions to maintain mutual compatibility in the biomolecular structure of the sequence, leading to between the two positions.DCA has been used in the inference of protein residue contacts, RNA structure prediction, the inference of protein-protein interaction networks and the modeling of fitness landscapes. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Direct_coupling_analysis
is Link from a Wikipage to another Wikipage of	DCA
is foaf:primaryTopic of	http://en.wikipedia.org/wiki/Direct_coupling_analysis

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