Gaussian process test for high-throughput sequencing time series: Application to experimental evolution

Bioinformatics

Volumn 31, Issue 11, 2015, Pages 1762-1770

  Topa, Hande ^a   Jónás, Ágnes ^b,c   Kofler, Robert ^b   Kosiol, Carolin ^b   Honkela, Antti ^d  

^a AALTO UNIVERSITY   (Finland)

^b Institute für Populationsgenetik   (Austria)

^c Vienna Graduate School of Economics   (Austria)

^d UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ALLELE; ANIMAL; COMPUTER PROGRAM; DROSOPHILA; GENE FREQUENCY; GENETICS; GENOMICS; HIGH THROUGHPUT SEQUENCING; MOLECULAR EVOLUTION; NORMAL DISTRIBUTION; PROCEDURES; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL;

ALLELES; ANIMALS; DROSOPHILA; EVOLUTION, MOLECULAR; GENE FREQUENCY; GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MODELS, STATISTICAL; NORMAL DISTRIBUTION; POLYMORPHISM, SINGLE NUCLEOTIDE; SOFTWARE;

EID: 84941687465     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btv014     Document Type: Conference Paper

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