kGEM: An EM-based algorithm for local reconstruction of viral quasispecies

The main challenge in local viral quasispecies reconstruction is to eliminate sequencing errors while preserving the natural heterogeneity of the viral population. This paper presents a new approach to error correction via an expectation maximization (EM) method.

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Bibliographic Details
Published in2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) p. 1
Main Authors Artyomenko, Alexander, Mancuso, Nicholas, Zelikovsky, Alex, Skums, Pavel, Mandoiu, Ion
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Computer science
Educational institutions
Error correction
expectation maximization
Frequency estimation
local reconstruction
Next-generation sequencing
Sensitivity
Sociology
viral quasispecies
Online AccessGet full text
DOI10.1109/ICCABS.2013.6629226

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Summary:The main challenge in local viral quasispecies reconstruction is to eliminate sequencing errors while preserving the natural heterogeneity of the viral population. This paper presents a new approach to error correction via an expectation maximization (EM) method.
DOI:10.1109/ICCABS.2013.6629226