Impact of imputation methods on the amount of genetic variation captured by a single-nucleotide polymorphism panel in soybeans

BMC Bioinformatics

Volumn 17, Issue 1, 2016, Pages

  Xavier, A ^a   Muir, William M ^a   Rainey, Katy M ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Association studies; Empirical Bayes; Genomic selection; Heritability

Indexed keywords

BIT ERROR RATE; DECISION TREES; FORECASTING; GENES; HIDDEN MARKOV MODELS; INFORMATION USE; MARKOV PROCESSES; NEAREST NEIGHBOR SEARCH; NUCLEOTIDES; SEED; TRELLIS CODES;

EMPIRICAL BAYES; GENERATION TECHNOLOGIES; GENOME-WIDE ASSOCIATION STUDIES; GENOMIC SELECTION; HERITABILITY; MARKER-ASSISTED SELECTION; SINGLE NUCLEOTIDE POLYMORPHISMS; SINGLE VALUE DECOMPOSITIONS;

QUALITY CONTROL;

CONTROLLED STUDY; DECOMPOSITION; GENE FREQUENCY; GENE MUTATION; GENETIC ANALYSIS; GENETIC POLYMORPHISM; GENETIC VARIABILITY; GRAIN YIELD; HERITABILITY; HIDDEN MARKOV MODEL; INTERMETHOD COMPARISON; K NEAREST NEIGHBOR; MATURITY; PEDIGREE; PHENOTYPE; PLANT HEIGHT; PREDICTION; PROTEIN ANALYSIS; RANDOM FOREST; SINGLE NUCLEOTIDE POLYMORPHISM; SOYBEAN; ALGORITHM; BIOLOGICAL MODEL; DNA SEQUENCE; GENETIC VARIATION; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; PLANT GENOME; QUANTITATIVE TRAIT LOCUS;

ALGORITHMS; GENETIC VARIATION; GENOME, PLANT; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; MODELS, GENETIC; PEDIGREE; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT LOCI; SEQUENCE ANALYSIS, DNA; SOYBEANS;

EID: 84956833334     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-0899-7     Document Type: Article

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