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CONTRIBUTORS:
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CONFERENCE NAME:
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CONF. LOCATION:
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New York Hall of Science, Queens, NYC, USA
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CONFERENCE YEAR:
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2007
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PUB TYPE:
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Conference Presentation
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SUBJECT(S):
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None
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DISCIPLINE:
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Research Methods
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HTTP:
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http://www.nd.edu/~netsci/
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LANGUAGE:
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English
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PUB ID:
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103-442-865
(Last edited on
2008/05/26 03:00:13 GMT-6)
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SPONSOR(S):
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ABSTRACT:
INTRUDUCTION: Position dependence of mutational influence in HIV virus is revealed using Szemerédi’s Regularity Lemma. Information about viral genome available from the EuResist database is represented as a weighted graph. Each vertex in the graph represents a position in the viral protease sequence. Vertices are connected with weighted directed edges. Edge weight is identified with the coefficients of constraints. In order to reduce the information, edges
below a prescribed threshold value are disregarded. In the obtained graph a Szemerédi-lemma based clustering is performed, in which positions with similar mutational tendencies are grouped together.
CONCLUSION: A new methodological tool is developed, sensitive enough to detect position dependent directional influence in mutational tendencies in highly variable genetic code.
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STATISTICS
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