Scrm: Efficiently simulating long sequences using the approximated coalescent with recombination

Bioinformatics

Volumn 31, Issue 10, 2015, Pages 1680-1682

  Staab, Paul R ^a   Zhu, Sha ^b   Metzler, Dirk ^a   Lunter, Gerton ^b  

^a UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BIOLOGICAL MODEL; COMPUTER PROGRAM; COMPUTER SIMULATION; GENETIC LINKAGE; GENETIC RECOMBINATION; GENOMICS; HIGH THROUGHPUT SEQUENCING; PROCEDURES;

ALGORITHMS; COMPUTER SIMULATION; GENETIC LINKAGE; GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MODELS, GENETIC; RECOMBINATION, GENETIC; SOFTWARE;

EID: 84929624753     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu861     Document Type: Article

References (9)

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