Abstract:
The process of DNA sequencing-by-synthesis and its non-idealities are modeled as a noisy switched linear system parameterized by the unknown DNA sequence. The base-callin...Show MoreMetadata
Abstract:
The process of DNA sequencing-by-synthesis and its non-idealities are modeled as a noisy switched linear system parameterized by the unknown DNA sequence. The base-calling problem is then formulated as a parameter detection problem. As this system can have long memory, performing exact maximum-likelihood decoding is computationally prohibitive. An approximate ML method applied to experimental Pyrosequencing data demonstrates reliable read lengths exceeding 200 bases, which is significantly longer than that achieved by current methods
Published in: 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
Date of Conference: 14-19 May 2006
Date Added to IEEE Xplore: 24 July 2006
Print ISBN:1-4244-0469-X