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. 2018 May 2;19:311. doi: 10.1186/s12864-018-4692-z

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© The Author(s). 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — A computational pipeline to identify putative regulatory SNPs. The human, mouse, and chicken genomes were aligned, and genomic segments five base-pairs in length or greater and identical in all three species were identified to compile a panel of multiple-species conserved sequences (MCSs). Overlap between the MCS dataset and validated ‘by-frequency’ SNPs from db SNP130 was determined. Exons were excluded using RefSeq entries, and a pilot set of 160 regions were identified on chromosomes 21, 22, and X. The number of regions in each resulting dataset are indicated below the label