Using expected sequence features to improve basecalling accuracy of amplicon pyrosequencing data

BMC Bioinformatics

Volumn 17, Issue 1, 2016, Pages

  Rask, Thomas S ^a,b,c   Petersen, Bent ^a   Chen, Donald S ^b   Day, Karen P ^b,c   Pedersen, Anders Gorm ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b NEW YORK UNIVERSITY MEDICAL CENTER   (United States)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Amplicon sequencin; Basecalling; Bayesian methods

Indexed keywords

BAYESIAN NETWORKS; ERRORS; GENES; NUCLEOTIDES;

AMPLICONS; BASECALLING; BAYESIAN METHODS; INSERTIONS AND DELETIONS; NUCLEOTIDE SEQUENCES; PROBABILISTIC APPROACHES; PROBABILISTIC FRAMEWORK; STATE-OF-THE-ART METHODS;

INVERSE PROBLEMS;

ERYTHROCYTE MEMBRANE PROTEIN 1, PLASMODIUM FALCIPARUM; PROTOZOAL DNA; PROTOZOAL PROTEIN;

ALGORITHM; DNA SEQUENCE; GENETICS; ISOLATION AND PURIFICATION; MOLECULAR MODEL; OPEN READING FRAME; PLASMODIUM FALCIPARUM; SEQUENCE ALIGNMENT;

ALGORITHMS; DNA, PROTOZOAN; MODELS, MOLECULAR; OPEN READING FRAMES; PLASMODIUM FALCIPARUM; PROTOZOAN PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA;

EID: 84977522399     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-1032-7     Document Type: Article

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