Rice imputation files: reference panel and recombination map
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https://purr.purdue.edu/publications/3831/1
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资源简介:
<p>This dataset contains files&nbsp;required for imputation of rice genomes using IMPUTE-2 software.&nbsp;These files were&nbsp;originally packaged within the&nbsp;Rice Imputation Server, a web-based platform developed by Wang&nbsp;<em>et al.</em>&nbsp;(2018). The Rice Imputation Server&nbsp;has since reached the end of its service life. To continue facilitating imputation for the rice community, the authors are making the following data resources available to the public:</p>
<ul type="disc">
<li>the Rice Reference Panel (RICE-RP)&nbsp;(12 .hap and 12 .legend files; one set per chromosome)</li>
<li>the fine-scale recombination map&nbsp;(12 .map files; one per chromosome)</li>
</ul>
<p>Note that the uncompressed dataset is around 90GB. An additional pdf file (RICE-RP_description_180908.pdf) provides a description of the Rice Reference Panel and its assembly.&nbsp;</p>
<p>Below is an example of a typical rice imputation&nbsp;job.&nbsp;</p>
<p>impute2 -m reference_files/ReferencePanel_4.8M_SNP_chr2updated.map -h reference_files/GORP_phased_chr2.phased.hap -l reference_files/GORP_phased_chr2.phased.newID.legend -g inbox/chr2_unimputed.gen -int 7187159 10780737 -Ne 10000 -k_hap 100 -o results/chr2.imputed.chunk3</p>
<p>Please refer to the instructions from&nbsp;IMPUTE-2 for a full description of parameters and file types as well as how to run the software on either your local machine or server:&nbsp;<a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html" rel="nofollow noreferrer noopener noreferrer" target="_blank">https://mathgen.stats.ox.ac.uk/impute/impute_v2.html</a>.&nbsp;</p>
<p>If you utilize these files for imputation,&nbsp;please cite the following reference:</p>
<p>Diane R. Wang, Francisco J. Agosto-P&eacute;rez, Dmytro Chebotarov, Yuxin Shi, Jonathan Marchini, Melissa Fitzgerald, Kenneth L. McNally, Nickolai Alexandrov, Susan R. McCouch. An imputation platform to enhance integration of rice genetic resources. Nature Communications. doi: 10.1038/s41467-018-05538-1</p>
提供机构:
Purdue University Research Repository
创建时间:
2021-08-19



