A statistical guide to the design of deep mutational scanning experiments

Genetics

Volumn 204, Issue 1, 2016, Pages 77-87

  Matuszewski, Sebastian ^a,c   Hildebrandt, Marcel E ^a,b   Ghenu, Ana Hermina ^d   Jensen, Jeffrey D ^a,c   Bank, Claudia ^a,c,d  

^a Chemical Engineering and Biochemistry Section   (Switzerland)

^b EPFL   (Switzerland)

^c SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

^d INSTITUTO GULBENKIAN DE CIÊNCIA   (Portugal)

Author keywords

Distribution of fitness effects; Experimental design; Experimental evolution; Mutation; Population genetics

Indexed keywords

HEAT SHOCK PROTEIN 90;

ARTICLE; GENE MUTATION; GENE SEQUENCE; GROWTH RATE; MEASUREMENT ERROR; MUTATION RATE; NULL HYPOTHESIS; POPULATION GENETICS; POPULATION SIZE; PRIORITY JOURNAL; SACCHAROMYCES CEREVISIAE; STATISTICS; BIOLOGICAL MODEL; BIOMETRY; DNA MUTATIONAL ANALYSIS; EVOLUTION; GENETIC SELECTION; HIGH THROUGHPUT SEQUENCING; MUTATION; PROCEDURES; REPRODUCTIVE FITNESS; STATISTICAL MODEL;

BIOLOGICAL EVOLUTION; BIOMETRY; DNA MUTATIONAL ANALYSIS; GENETIC FITNESS; GENETICS, POPULATION; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MODELS, GENETIC; MODELS, STATISTICAL; MUTATION; SELECTION, GENETIC;

EID: 84986254038     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.116.190462     Document Type: Article

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