Title
Automated DNA fiber tracking and measurement
Abstract
The rapid assessment of how cells respond to pathologic, biological, environmental, and endogenous agents is critical for understanding how such responses may increase genomic instability, disease development and, ultimately, affect quality of life. Recently, we have applied the technique of DNA fiber analysis to increase our understanding of how DNA damaging agents influence DNA replication [1]. The major drawback to this technique, however, is the length of time needed to manually assess the replication dynamics, i.e., 40 hours per experimental condition. We introduce in this paper an automatic and effective image analysis framework for accurate quantification of various replication tracks for high throughput DNA analysis, called Computer Assisted Selection and Analysis (CASA). This algorithm is implemented in two major steps: random-walk-based DNA fiber tracking and pattern-recognition-based measurement of the replication tracks. Experimental results show that the proposed method can yield results which are highly consistent with manual analysis and needs only 160-fold less processing time, without manual involvement.
Year
DOI
Venue
2011
10.1109/ISBI.2011.5872650
ISBI
Keywords
Field
DocType
dna fiber analysis,dna fiber tracking,cellular biophysics,diseases,pattern recognition,replication tracks,biomedical measurement,genomics,quality of life,dna pattern recognition,genomic instability,dna damaging agents,dna replication tracks,automated dna fiber tracking,computer assisted selection and analysis,random walk,disease development,replication dynamics,random-walk-based dna fiber tracking,dna,dna replication,image analysis framework,medical image processing,pattern-recognition-based measurement,pixel,dna analysis,high throughput,noise,dna damage,image analysis
Cellular biophysics,Genome instability,Pattern recognition,Computer science,DNA,Real-time computing,Genomics,Artificial intelligence,Bioinformatics,Throughput,DNA replication
Conference
Volume
Issue
ISSN
null
null
1945-7928 E-ISBN : 978-1-4244-4128-0
ISBN
Citations 
PageRank 
978-1-4244-4128-0
0
0.34
References 
Authors
2
7
Name
Order
Citations
PageRank
Yaping Wang149632.87
Paul Chastain200.34
Pew-Thian Yap3109393.77
Jie-Zhi Cheng410213.00
David Kaufman500.34
Lei Guo61661142.63
Dinggang Shen77837611.27