Removing Noise From Pyrosequenced Amplicons

Axel Poulet; Maud Privat; Flora Ponelle; Sandrine Viala; Stephanie Decousus; Axel Perin; Laurence Lafarge; Marie Ollier; Nagi S. El Saghir; Nancy Uhrhammer; Yves–Jean Bignon; Yannick Bidet

doi:10.1186/1471-2105-12-38

Abstract

AmpliconNoise followed by Perseus is a very effective pipeline for the removal of noise. In addition the principles behind the algorithms, the inference of true sequences using Expectation-Maximization (EM), and the treatment of chimera detection as a classification or 'supervised learning' problem, will be equally applicable to new sequencing technologies as they appear.

Keywords

AmpliconPyrosequencingBiologyComputational biologyIon semiconductor sequencingDNA sequencingGenomicsGeneticsPolymerase chain reactionGenomeGene

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Publication Info

Year: 2011
Type: article
Volume: 12
Issue: 1
Pages: 38-38
Citations: 1557
Access: Closed

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APA Style

                            
                                
                                    Axel Poulet, 
                                
                                    Maud Privat, 
                                
                                    Flora Ponelle
                                
                                et al.
                            
                            (2011). 
                            Removing Noise From Pyrosequenced Amplicons. 
                            BMC Bioinformatics
                            , 12
                            (1)
                            , 38-38.
                            https://doi.org/10.1186/1471-2105-12-38
                        

Identifiers

DOI: 10.1186/1471-2105-12-38