Document Type
Article
Language
eng
Publication Date
2009
Publisher
BioMed Central
Source Publication
BMC Bioinformatics
Source ISSN
1471-2105
Abstract
Background
Physical maps have been historically one of the cornerstones of genome sequencing and map-based cloning strategies. They also support marker assisted breeding and EST mapping. The problem of building a high quality physical map is computationally challenging due to unavoidable noise in the input fingerprint data.
Results
We propose a novel compartmentalized method for the assembly of high quality physical maps from fingerprinted clones. The knowledge of genetic markers enables us to group clones into clusters so that clones in the same cluster are more likely to overlap. For each cluster of clones, a local physical map is first constructed using FingerPrinted Contigs (FPC). Then, all the individual maps are carefully merged into the final physical map. Experimental results on the genomes of rice and barley demonstrate that the compartmentalized assembly produces significantly more accurate maps, and that it can detect and isolate clones that would induce "chimeric" contigs if used in the final assembly.
Conclusion
The software is available for download at http://www.cs.ucr.edu/~sbozdag/assembler/
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Recommended Citation
Bozdag, Serdar; Close, Timothy J.; and Lonardi, Stefano, "Compartmentalized Approach to the Assembly of Physical Maps" (2009). Mathematics, Statistics and Computer Science Faculty Research and Publications. 569.
https://epublications.marquette.edu/mscs_fac/569
Comments
Published version. BMC Bioinformatics, Vol. 10, No. 1 (2009). DOI.
Serdar Bozdag was affiliated with the National Institutes of Health at the time of publication.