DocumentCode
3542663
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
fYear
2011
fDate
4-6 Dec. 2011
Firstpage
121
Lastpage
122
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on
Conference_Location
San Antonio, TX
ISSN
2150-3001
Print_ISBN
978-1-4673-0491-7
Electronic_ISBN
2150-3001
Type
conf
DOI
10.1109/GENSiPS.2011.6169459
Filename
6169459
Link To Document