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Dotted interval graphs and high throughput genotyping
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Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
Vancouver, British Columbia
SESSION: Session 4B table of contents
Pages: 339 - 348  
Year of Publication: 2005
ISBN:0-89871-585-7
Authors
Yonatan Aumann  Bar-Ilan University, Ramat Gan, Israel
Moshe Lewenstein  Bar-Ilan University, Ramat Gan, Israel
Oren Melamud  Bar-Ilan University, Ramat Gan, Israel
Ron Y. Pinter  Technion, Israel
Zohar Yakhini  Agilent Laboratories, Technion, Haifa, Israel
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
: SIAM Activity Group on Discrete Mathematics
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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Downloads (6 Weeks): 1,   Downloads (12 Months): 27,   Citation Count: 4
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ABSTRACT

We introduce a generalization of interval graphs, which we call dotted interval graphs (DIG). A dotted interval graph is an intersection graph of arithmetic progressions (=dotted intervals). Coloring of dotted intervals graphs naturally arises in the context of high throughput genotyping. We study the properties of dotted interval graphs, with a focus on coloring. We show that any graph is a DIG but that DIGd graphs, i.e. DIGs in which the arithmetic progressions have a jump of at most d, form a strict hierarchy. We show that coloring DIGd, graphs is NP-complete even for d = 2. For any fixed d, we provide a 7/8d approximation for the coloring of DIGd graphs.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Yonatan Aumann: colleagues
Moshe Lewenstein: colleagues
Oren Melamud: colleagues
Ron Y. Pinter: colleagues
Zohar Yakhini: colleagues