DocumentCode :
191048
Title :
Reconstruction of influenza a virus variants from PacBio reads
Author :
Artyomenko, Alexander ; Mangul, Serghei ; Wu, Nicholas C. ; Eskin, Eleazar ; Ren Sun ; Zelikovsky, Alexander
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
fYear :
2014
fDate :
2-4 June 2014
Firstpage :
1
Lastpage :
1
Abstract :
Pacific Biosciences (PacBio) sequencing is providing thousands of reads with the length up to 10,000 bases. In most cases this length is enough to cover entire region of interest however this technology has high (≈ 15%) error rate. We propose a method for viral haplotype reconstruction generalizes k-means clustering with Hamming distance and capable of handling up to 25% random errors. When applied to PacBio reads from an Influenza A Virus (IAV) sample with ten variants, our method was able to reconstruct the four most frequent.
Keywords :
bioinformatics; diseases; error handling; genomics; microorganisms; pattern clustering; Hamming distance; IAV; Influenza A Virus sample; PacBio reads; Pacific Biosciences sequencing; error rate; influenza reconstruction; k-means clustering; random error handling; viral haplotype reconstruction; virus variants; Biology; Cloning; Educational institutions; Hamming distance; Sequential analysis; Sociology; Statistics; PacBio; clustering; viral quasispecies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2014 IEEE 4th International Conference on
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4799-5786-6
Type :
conf
DOI :
10.1109/ICCABS.2014.6863935
Filename :
6863935
Link To Document :
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