{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T16:15:51Z","timestamp":1722960951826},"reference-count":23,"publisher":"Oxford University Press (OUP)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,6,15]]},"abstract":"Abstract<\/jats:title>\n Summary: Simulation programs based on the coalescent efficiently generate genetic data according to a given model of evolution. We present coala, an R package for calling coalescent simulators with a unified syntax. It can execute simulations with several programs, calculate additional summary statistics and combine multiple simulations to create biologically more realistic data.<\/jats:p>\n Availability and implementation: The package is publicly available on CRAN and on https:\/\/github.com\/statgenlmu\/coala under the conditions of the MIT license.<\/jats:p>\n Contact: \u00a0metzler@bio.lmu.de<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw098","type":"journal-article","created":{"date-parts":[[2016,2,20]],"date-time":"2016-02-20T01:33:13Z","timestamp":1455931993000},"page":"1903-1904","source":"Crossref","is-referenced-by-count":29,"title":["Coala: an R framework for coalescent simulation"],"prefix":"10.1093","volume":"32","author":[{"given":"Paul R.","family":"Staab","sequence":"first","affiliation":[{"name":"Department of Biology, Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Planegg-Martinsried 82152, Germany"}]},{"given":"Dirk","family":"Metzler","sequence":"additional","affiliation":[{"name":"Department of Biology, Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Planegg-Martinsried 82152, Germany"}]}],"member":"286","published-online":{"date-parts":[[2016,2,18]]},"reference":[{"key":"2023020112303598400_btw098-B1","doi-asserted-by":"crossref","first-page":"2274","DOI":"10.1093\/bioinformatics\/bts419","article-title":"OmegaPlus: a scalable tool for rapid detection of selective sweeps in whole-genome datasets","volume":"28","author":"Alachiotis","year":"2012","journal-title":"Bioinformatics"},{"key":"2023020112303598400_btw098-B2","doi-asserted-by":"crossref","first-page":"2025","DOI":"10.1093\/genetics\/162.4.2025","article-title":"Approximate Bayesian computation in population genetics","volume":"162","author":"Beaumont","year":"2002","journal-title":"Genetics"},{"key":"2023020112303598400_btw098-B3","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1101\/gr.083634.108","article-title":"Fast and Flexible Simulation of DNA Sequence Data","volume":"19","author":"Chen","year":"2009","journal-title":"Genome Res"},{"key":"2023020112303598400_btw098-B4","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1111\/j.2041-210X.2011.00179.x","article-title":"abc: an R package for approximate Bayesian computation (ABC)","volume":"3","author":"Csill\u00e9ry","year":"2012","journal-title":"Methods Ecol. 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