Estimating fitness of viral quasispecies from next-generation sequencing data

Current Topics in Microbiology and Immunology

Volumn 392, Issue , 2016, Pages 181-200

  Seifert, David ^a   Beerenwinkel, Niko ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ALLELE; ANALYTICAL ERROR; BAYES THEOREM; BOTTLENECK POPULATION; EVOLUTION; HAPLOTYPE; MATHEMATICAL ANALYSIS; NEXT GENERATION SEQUENCING; NONHUMAN; POPULATION STRUCTURE; PRIORITY JOURNAL; SELECTIVE SWEEP; SPECIES COMPOSITION; SPECIES DISTRIBUTION; VIRAL FITNESS LANDSCAPE; VIRAL PHENOMENA AND FUNCTIONS; VIRAL QUASISPECIES; VIRUS GENOME; VIRUS MUTANT; VIRUS MUTATION; CLASSIFICATION; GENETIC VARIATION; GENETICS; HIGH THROUGHPUT SEQUENCING; MOLECULAR EVOLUTION; MUTATION RATE; VIRUS;

EVOLUTION, MOLECULAR; GENETIC VARIATION; GENOME, VIRAL; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MUTATION RATE; VIRUSES;

EID: 84961575885     PISSN: 0070217X     EISSN: 21969965     Source Type: Book Series    
DOI: 10.1007/82_2015_462     Document Type: Chapter

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