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Literature DB >> 24950894

A C++ template library for efficient forward-time population genetic simulation of large populations.

Abstract

fwdpp is a C++ library of routines intended to facilitate the development of forward-time simulations under arbitrary mutation and fitness models. The library design provides a combination of speed, low memory overhead, and modeling flexibility not currently available from other forward simulation tools. The library is particularly useful when the simulation of large populations is required, as programs implemented using the library are much more efficient than other available forward simulation programs.

Entities: Disease

Keywords: population genetics; quantitative genetics; simulation

Mesh：

Year: 2014 PMID： 24950894 PMCID： PMC4174927 DOI： 10.1534/genetics.114.165019

Source DB: PubMed Journal: Genetics ISSN： 0016-6731 Impact factor: 4.562

27 in total

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3. Estimation of levels of gene flow from DNA sequence data.

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5. Exploring population genetic models with recombination using efficient forward-time simulations.

Authors: Badri Padhukasahasram; Paul Marjoram; Jeffrey D Wall; Carlos D Bustamante; Magnus Nordborg
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6. The number of heterozygous nucleotide sites maintained in a finite population due to steady flux of mutations.

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7. Statistical properties of the number of recombination events in the history of a sample of DNA sequences.

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8. Forward-time simulations of human populations with complex diseases.

Authors: Bo Peng; Christopher I Amos; Marek Kimmel
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9. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors:
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10. GENOMEPOP: a program to simulate genomes in populations.

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2. Tree-sequence recording in SLiM opens new horizons for forward-time simulation of whole genomes.

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3. Evolutionary Modeling in SLiM 3 for Beginners.

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Review 5. On the importance of skewed offspring distributions and background selection in virus population genetics.

Authors: K K Irwin; S Laurent; S Matuszewski; S Vuilleumier; L Ormond; H Shim; C Bank; J D Jensen
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6. Background Selection Does Not Mimic the Patterns of Genetic Diversity Produced by Selective Sweeps.

Authors: Daniel R Schrider
Journal: Genetics Date: 2020-08-26 Impact factor: 4.562

7. Unbiased Estimation of Linkage Disequilibrium from Unphased Data.

Authors: Aaron P Ragsdale; Simon Gravel
Journal: Mol Biol Evol Date: 2020-03-01 Impact factor: 16.240

8. The Temporal Dynamics of Background Selection in Nonequilibrium Populations.

Authors: Raul Torres; Markus G Stetter; Ryan D Hernandez; Jeffrey Ross-Ibarra
Journal: Genetics Date: 2020-02-18 Impact factor: 4.562

9. Fine-Scale Haplotype Structure Reveals Strong Signatures of Positive Selection in a Recombining Bacterial Pathogen.

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10. Genome-wide epistasis and co-selection study using mutual information.

Authors: Johan Pensar; Santeri Puranen; Brian Arnold; Neil MacAlasdair; Juri Kuronen; Gerry Tonkin-Hill; Maiju Pesonen; Yingying Xu; Aleksi Sipola; Leonor Sánchez-Busó; John A Lees; Claire Chewapreecha; Stephen D Bentley; Simon R Harris; Julian Parkhill; Nicholas J Croucher; Jukka Corander
Journal: Nucleic Acids Res Date: 2019-10-10 Impact factor: 16.971