GigaScience | |
Image processing for optical mapping | |
Aditya Gupta1  Prabu Ravindran1  | |
[1] Laboratory of Molecular and Computational Genomics, Department of Chemistry, Laboratory of Genetics and Biotechnology Center, University of Wisconsin, 425 Henry Mall, Madison, USA | |
关键词: Integrated fluorescence intensity; Shortest path; Tiling; Grouping; Skeletonization; Image processing; Optical mapping; | |
Others : 1234137 DOI : 10.1186/s13742-015-0096-z |
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received in 2015-02-19, accepted in 2015-11-05, 发布年份 2015 | |
【 摘 要 】
Optical Mapping is an established single-molecule, whole-genome analysis system, which has been used to gain a comprehensive understanding of genomic structure and to study structural variation of complex genomes. A critical component of Optical Mapping system is the image processing module, which extracts single molecule restriction maps from image datasets of immobilized, restriction digested and fluorescently stained large DNA molecules. In this review, we describe robust and efficient image processing techniques to process these massive datasets and extract accurate restriction maps in the presence of noise, ambiguity and confounding artifacts. We also highlight a few applications of the Optical Mapping system.
【 授权许可】
2015 Ravindran and Gupta.
【 预 览 】
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20151128041516315.pdf | 1440KB | download | |
Fig. 6. | 55KB | Image | download |
Fig. 5. | 23KB | Image | download |
Fig. 4. | 24KB | Image | download |
Fig. 3. | 34KB | Image | download |
Fig. 2. | 6KB | Image | download |
Fig. 1. | 43KB | Image | download |
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