A framework for inferring fitness landscapes of patient-derived viruses using quasispecies theory

Genetics

Volumn 199, Issue 1, 2015, Pages 191-203

  Seifert, David ^a,b   Giallonardo, Francesca Di ^c   Metzner, Karin J ^c   Günthard, Huldrych F ^c   Beerenwinke, Niko ^b  

^a ETH ZURICH   (Switzerland)

^b SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

^c UNIVERSITY HOSPITAL ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; NUCLEOCAPSID PROTEIN; PEPTIDE;

ARTICLE; BAYES THEOREM; CASE REPORT; COMPUTER SIMULATION; CONCEPTUAL FRAMEWORK; EPISTASIS; FITNESS; FITNESS LANDSCAPE; HAPLOTYPE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; IN VITRO STUDY; IN VIVO STUDY; LANDSCAPE; MARKOV CHAIN MONTE CARLO METHOD; MATHEMATICAL ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MOLECULAR BIOLOGY; MOLECULAR EVOLUTION; MONTE CARLO METHOD; NEXT GENERATION SEQUENCING; PRIORITY JOURNAL; VIRUS CELL INTERACTION; VIRUS PARTICLE; BIOLOGICAL MODEL; GENETICS; REPRODUCTIVE FITNESS; SOFTWARE;

HUMAN IMMUNODEFICIENCY VIRUS 1;

EPISTASIS, GENETIC; GENETIC FITNESS; HIV-1; MODELS, GENETIC; SOFTWARE;

EID: 84920911174     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.114.172312     Document Type: Article

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