DocumentCode
4349
Title
Information Theory of DNA Shotgun Sequencing
Author
Motahari, Abolfazl S. ; Bresler, Guy ; Tse, David N. C.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, Berkeley, CA, USA
Volume
59
Issue
10
fYear
2013
fDate
Oct. 2013
Firstpage
6273
Lastpage
6289
Abstract
DNA sequencing is the basic workhorse of modern day biology and medicine. Shotgun sequencing is the dominant technique used: many randomly located short fragments called reads are extracted from the DNA sequence, and these reads are assembled to reconstruct the original sequence. A basic question is: given a sequencing technology and the statistics of the DNA sequence, what is the minimum number of reads required for reliable reconstruction? This number provides a fundamental limit to the performance of any assembly algorithm. For a simple statistical model of the DNA sequence and the read process, we show that the answer admits a critical phenomenon in the asymptotic limit of long DNA sequences: if the read length is below a threshold, reconstruction is impossible no matter how many reads are observed, and if the read length is above the threshold, having enough reads to cover the DNA sequence is sufficient to reconstruct. The threshold is computed in terms of the Renyi entropy rate of the DNA sequence. We also study the impact of noise in the read process on the performance.
Keywords
DNA; biological techniques; entropy; information theory; molecular biophysics; statistics; DNA shotgun sequencing; Renyi entropy rate; information theory; noise impact; statistics; Algorithm design and analysis; Assembly; Bioinformatics; DNA; Genomics; Greedy algorithms; Sequential analysis; DNA sequencing; de novo assembly; information theory;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2013.2270273
Filename
6544699
Link To Document