Title :
A sequential Monte Carlo base-calling method for next-generation dna sequencing
Author :
Shen, Xiaohu ; Vikalo, Haris
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
Abstract :
Recent development of next-generation sequencing platforms has dramatically increased the efficiency of obtaining genomic data. Their accuracy, reliability, and achievable read-lengths, however, often lag behind those of the conventional Sanger sequencing method. In this paper, we consider the Illumina sequencing platform and propose a novel DNA base-calling algorithm based on the sequential Monte Carlo method. It is demonstrated on experimental data that the developed algorithm is much faster than the best performing base-calling method currently available, while achieving similar accuracy.
Keywords :
DNA; Monte Carlo methods; biology; data handling; Illumina sequencing platform; Sanger sequencing method; experimental data; genomic data; next-generation DNA sequencing; sequential Monte Carlo base-calling method; Bioinformatics; DNA; Error analysis; Hidden Markov models; Monte Carlo methods; Next generation networking; Signal processing algorithms; base-calling; next-generation DNA sequencing; sequential Monte Carlo algorithm;
Conference_Titel :
Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4673-0491-7
Electronic_ISBN :
2150-3001
DOI :
10.1109/GENSiPS.2011.6169459