Title :
An MCMC algorithm for base calling in sequencing-by-synthesis
Author :
Wu, Ting ; Vikalo, Haris ; Shamaiah, Manohar
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
Sequencing-by-synthesis is a novel technology which enables fast and affordable DNA sequencing. However, its accuracy is insufficient for most medical applications. The performance of sequencing-by-synthesis is fundamentally limited by imperfections in the underlying enzymatic process. We derive a mathematical model of sequencing-by-synthesis and develop a novel base calling method that relies on Markov Chain Monte Carlo technique. Simulation and experimental results demonstrate superior performance of the proposed method over the state-of-the-art base-calling techniques.
Keywords :
DNA; Markov processes; Monte Carlo methods; biological techniques; enzymes; mathematical analysis; molecular biophysics; DNA sequencing; MCMC algorithm; Markov Chain Monte Carlo method; enzymatic process; mathematical model; sequencing-by-synthesis; state-of-the-art base-calling method; Bioinformatics; DNA; Genomics; Humans; Markov processes; Mathematical model; Monte Carlo methods; Markov Chain Monte Carlo; base calling; next generation DNA sequencing;
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4673-0321-7
DOI :
10.1109/ACSSC.2011.6190165