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Physical mapping with automatic capture of hybridization data
Author(s) -
David W. Hall,
Suchendra M. Bhandarkar,
Jonathan Arnold,
Tongzhang Jiang
Publication year - 2001
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/17.3.205
Subject(s) - contig , physical mapping , computer science , set (abstract data type) , data mapping , data set , algorithm , pattern recognition (psychology) , artificial intelligence , gene mapping , biology , genome , genetics , database , gene , chromosome , programming language
Contig maps are a type of physical map that show the native order of a set of overlapping genomic clones. Overlaps between clones can be detected by finding common sequences using a number of experimental protocols including hybridization of probes. All current mapping algorithms of which we are aware require that hybridizations be scored using a fixed number of discrete values (typically 0/1 or high/medium/low). When hybridization data is captured automatically using digital equipment, this provides the opportunity for hybridization intensities to be used in map construction. More fine-grained distinctions in the levels of hybridization may be exploited by algorithms to generate more accurate physical maps.

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