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Uniform integration of genome mapping data using intersection graphs
Author(s) -
Eric H. Harley,
Anthony J. Bonner,
Nathan Goodman
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/17.6.487
Subject(s) - intersection (aeronautics) , computer science , contig , software , clique , linkage (software) , data mining , graph , set (abstract data type) , data set , algorithm , genome , theoretical computer science , artificial intelligence , biology , mathematics , genetics , combinatorics , gene , engineering , programming language , aerospace engineering
The methods for analyzing overlap data are distinct from those for analyzing probe data, making integration of the two forms awkward. Conversion of overlap data to probe-like data elements would facilitate comparison and uniform integration of overlap data and probe data using software developed for analysis of STS data.

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