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Bioinformatics. 2018 Sep 15;34(18):3205-3207. doi: 10.1093/bioinformatics/bty299.

BlockFeST: Bayesian calculation of region-specific FST to detect local adaptation.

Author information

Institute for Computer Science and Department of Biology, Heinrich Heine University, Düsseldorf, Germany.
Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
Cluster of Excellence on Plant Sciences, Düsseldorf, Germany.



The fixation index FST can be used to identify non-neutrally evolving loci from genome-scale SNP data across two or more populations. Recent years have seen the development of sophisticated approaches to estimate FST based on Markov-Chain Monte-Carlo simulations. Here, we present a vectorized R implementation of an extension of the widely used BayeScan software for codominant markers, adding the option to group individual SNPs into pre-defined blocks. A typical application of this new approach is the identification of genomic regions, genes, or gene sets containing SNPs that evolved under directional selection.

Availability and implementation:

The R implementation of our method, which builds on the powerful population genetics and genomics software PopGenome, is available freely from CRAN.

Supplementary information:

Supplementary data are available at Bioinformatics online.

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