We introduce ABLE (Approximate Blockwise Likelihood Estimation), a novel simulation-based composite likelihood method that uses the blockwise site frequency spectrum to jointly infer past demography and recombination. ABLE is explicitly designed for a wide variety of data from unphased diploid genomes to genome-wide multi-locus data (for example, RADSeq) and can also accommodate arbitrarily large samples. We use simulations to demonstrate the accuracy of this method to infer complex histories of divergence and gene flow and reanalyze whole genome data from two species of orangutan. ABLE is available for download at https://github.com/champost/ABLE.
%0 Journal Article
%1 beeravolu2018blockwise
%A Beeravolu, Champak R.
%A Hickerson, Michael J.
%A Frantz, Laurent A. F.
%A Lohse, Konrad
%D 2018
%J Genome Biology
%K along_the_genome demographic_inference methods simulation-based_inference site_frequency_spectrum
%N 1
%P 145
%R 10.1186/s13059-018-1517-y
%T ABLE: blockwise site frequency spectra for inferring complex population histories and recombination
%U https://doi.org/10.1186/s13059-018-1517-y
%V 19
%X We introduce ABLE (Approximate Blockwise Likelihood Estimation), a novel simulation-based composite likelihood method that uses the blockwise site frequency spectrum to jointly infer past demography and recombination. ABLE is explicitly designed for a wide variety of data from unphased diploid genomes to genome-wide multi-locus data (for example, RADSeq) and can also accommodate arbitrarily large samples. We use simulations to demonstrate the accuracy of this method to infer complex histories of divergence and gene flow and reanalyze whole genome data from two species of orangutan. ABLE is available for download at https://github.com/champost/ABLE.
@article{beeravolu2018blockwise,
abstract = {We introduce ABLE (Approximate Blockwise Likelihood Estimation), a novel simulation-based composite likelihood method that uses the blockwise site frequency spectrum to jointly infer past demography and recombination. ABLE is explicitly designed for a wide variety of data from unphased diploid genomes to genome-wide multi-locus data (for example, RADSeq) and can also accommodate arbitrarily large samples. We use simulations to demonstrate the accuracy of this method to infer complex histories of divergence and gene flow and reanalyze whole genome data from two species of orangutan. ABLE is available for download at https://github.com/champost/ABLE.},
added-at = {2018-09-26T20:09:15.000+0200},
author = {Beeravolu, Champak R. and Hickerson, Michael J. and Frantz, Laurent A. F. and Lohse, Konrad},
biburl = {https://www.bibsonomy.org/bibtex/2162fe2695e059c81a02ba02bb912e477/peter.ralph},
day = 25,
doi = {10.1186/s13059-018-1517-y},
interhash = {a899bfd66ae51f4cdae73e6b6722d067},
intrahash = {162fe2695e059c81a02ba02bb912e477},
issn = {1474-760X},
journal = {Genome Biology},
keywords = {along_the_genome demographic_inference methods simulation-based_inference site_frequency_spectrum},
month = sep,
number = 1,
pages = 145,
timestamp = {2018-10-23T11:39:35.000+0200},
title = {ABLE: blockwise site frequency spectra for inferring complex population histories and recombination},
url = {https://doi.org/10.1186/s13059-018-1517-y},
volume = 19,
year = 2018
}