ViVaMBC: Estimating viral sequence variation in complex populations from illumina deep-sequencing data using model-based clustering

BMC Bioinformatics

Volumn 16, Issue 1, 2015, Pages

  Verbist, Bie ^a   Clement, Lieven ^a   Reumers, Joke ^b   Thys, Kim ^b   Vapirev, Alexander ^b,c   Talloen, Willem ^b   Wetzels, Yves ^b   Meys, Joris ^a   Aerssens, Jeroen ^b   Bijnens, Luc ^b   Thas, Olivier ^a,d  

^a GHENT UNIVERSITY   (Belgium)

^b JANSSEN RESEARCH AND DEVELOPMENT   (Belgium)

^c ExaScience Lab   (Belgium)

^d UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

Codon; Illumina sequencing; Model based clustering; Second best base call; Viral quasispecies

Indexed keywords

ERRORS; NUCLEOTIDES; PROBABILITY; QUALITY CONTROL; VIRUSES;

CODON; ILLUMINA; MODEL-BASED CLUSTERING; SECOND BEST BASE CALL; VIRAL QUASISPECIES;

POPULATION STATISTICS;

HEPATITIS C VIRUS;

ALGORITHM; CLUSTER ANALYSIS; COMPUTER PROGRAM; DNA SEQUENCE; GENETIC VARIABILITY; GENETICS; GENOMICS; HEPACIVIRUS; HEPATITIS C; HIGH THROUGHPUT SEQUENCING; HUMAN; MUTATION; PROCEDURES; SENSITIVITY AND SPECIFICITY; VIROLOGY; VIRUS GENOME;

ALGORITHMS; CLUSTER ANALYSIS; GENETIC VARIATION; GENOME, VIRAL; GENOMICS; HEPACIVIRUS; HEPATITIS C; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; MUTATION; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 84928225279     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0458-7     Document Type: Article

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