Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data.

"an implementation of the new grm estimator we have derived in this article is available in the r package gusrelate ( g enotyping u ncertainty with s equencing data for relate dness) which can be downloaded at https://github com/tpbilton/gusrelate .; data availability scripts for performing the simulation study and summarizing the simulation results are available on github at https://github com/tpbilton/grm_autoploidy_hts_data .; supplementary file s5 is the data file for matching the ids from the snp array and gbs datasets and an r script for reproducing the results for the potato dataset is available from github at https://github com/tpbilton/grm_autoploidy_hts_data . file 2 (docx 1384 kb) supplementary file 3 (csv"

"an implementation of the new grm estimator we have derived in this article is available in the r package gusrelate ( g enotyping u ncertainty with s equencing data for relate dness) which can be downloaded at https://github com/tpbilton/gusrelate .; an introduction on how to use gusrelate along with its features and workflow is available from https://github com/tpbilton/gusrelate/blob/master/readme md .; data availability scripts for performing the simulation study and summarizing the simulation results are available on github at https://github com/tpbilton/grm_autoploidy_hts_data .; supplementary file s5 is the data file for matching the ids from the snp array and gbs datasets and an r script for reproducing the results for the potato dataset is available from github at https://github com/tpbilton/grm_autoploidy_hts_data . supplementary file s5 is the data file for matching the ids from the snp array and gbs datasets and an r script for reproducing the results for the potato dataset is available from github at https://github com/tpbilton/grm_autoploidy_hts_data ."

"Declarations Conflict of interestThe authors declare that they have no conflicts of interest. Consent for publicationNot applicable. Consent to participateNot applicable. Conflict of interest The authors declare that they have no conflicts of interest."

"Funding Open Access funding enabled and organized by CAUL and its Member Institutions. This work was funded by the Ministry of Business, Innovation and Employment (New Zealand), Contract C10X1306, “Genomics for Production & Security in a Biological Economy” to AgResearch Ltd, and by the Strategic Science Investment Fund (SSIF), AgResearch Ltd., New Zealand. We also acknowledge funding to TPB by a University of Otago Doctoral Scholarship and to SKS and GJB from the Scottish Government Rural and Environment Science and Analytical Services Division as part of the Strategic Research Programme 2016–2021."