sorry, we can't preview this file
...but you can still download README
datasetposted on 24.11.2019 by Fanny Pouyet
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This dryad page provides the data and the source code for the figures in " Background selection and biased gene conversion affect more than 95% of the human genome and bias demographic inferences " by Pouyet F,* Aeschbacher S*, Thiery A and Excoffier L. * first co-authors It contains as compressed files: -- 1 -- Genotype tables and annotations from 1000G and SGDP data 1000G_genot-table.zip SGDP_genotypetable-annotation.zip with README files that describe the data and how to use them. -- 2 -- the R scripts to perform the figures of INDA figures_INDA_Rscripts.zip -- 3 -- the confidence intervals of the estimates as well as the source code to estimate them confidenceIntervals.zip -- 4 -- the scripts (R and python) to make the SFS figures as well as estimate confidence intervals and compute the SFS figures_data_SFS_Rscripts.zip -- 5 -- the setting parameters for FastSimCoal demographic inferences Supplementary file - settings files for demographi ... -- 6 -- the scripts for SLiM simulations and analyses (bash and R code) + a table with parameters used in the SLiM simulations (.csv) + the scripts and raw data that I used to make the figures (.txt and .R) si_files_SA.tar.gz Extra READMEs describe the files and how to launch them to compute the statistics or to make the figures.