The statistics of bulk segregant analysis using next generation sequencing

PLoS Computational Biology

Volumn 7, Issue 11, 2011, Pages

  Magwene, Paul M ^a   Willis, John H ^a   Kelly, John K ^b  

^a DUKE UNIVERSITY   (United States)

^b UNIVERSITY OF KANSAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENES; SAMPLING;

BULK SEGREGANT ANALYSIS; FREQUENCY DIFFERENCES; FREQUENCY ESTIMATES; HIGH-THROUGHPUT; NEXT-GENERATION SEQUENCING; POWER; QTL MAPPING; SEGREGANTS; SHORT READS; STATISTICAL FRAMEWORK;

YEAST;

ARTICLE; BULKED SEGREGANT ANALYSIS; CONTROLLED STUDY; DNA SEQUENCE; FUNGAL GENOME; GENE FREQUENCY; GENETIC VARIABILITY; HIGH THROUGHPUT SEQUENCING; NONHUMAN; QUANTITATIVE TRAIT LOCUS MAPPING; SACCHAROMYCES CEREVISIAE; SEQUENCE ANALYSIS; STATISTICAL ANALYSIS; BIOLOGICAL MODEL; BIOLOGY; CHROMOSOME MAP; GENETICS; NONPARAMETRIC TEST; QUANTITATIVE TRAIT LOCUS; STATISTICAL MODEL; STATISTICS;

SACCHAROMYCES CEREVISIAE; SACCHAROMYCETALES;

FUNGAL DNA;

CHROMOSOME MAPPING; COMPUTATIONAL BIOLOGY; DNA, FUNGAL; GENE FREQUENCY; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MODELS, GENETIC; MODELS, STATISTICAL; QUANTITATIVE TRAIT LOCI; SACCHAROMYCES CEREVISIAE; STATISTICS, NONPARAMETRIC;

EID: 81355133271     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002255     Document Type: Article

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