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dc.contributor.authorMacdonald, Stuart J.
dc.contributor.authorPastinen, Tomi
dc.contributor.authorGenissel, Anne
dc.contributor.authorCornforth, Theodore W.
dc.contributor.authorLong, Anthony D.
dc.date.accessioned2014-08-13T17:27:13Z
dc.date.available2014-08-13T17:27:13Z
dc.date.issued2005-12-02
dc.identifier.citationMacdonald, S.J., Pastinen, T., Genissel, A., Cornforth, T.W., and Long, A.D. A low-cost open-source SNP genotyping platform for association mapping applications. Genome Biology 2005, 6:R105. http://dx.doi.org/10.1186/gb-2005-6-12-r105
dc.identifier.urihttp://hdl.handle.net/1808/14915
dc.description.abstractAssociation mapping aimed at identifying DNA polymorphisms that contribute to variation in complex traits entails genotyping a large number of single-nucleotide polymorphisms (SNPs) in a very large panel of individuals. Few technologies, however, provide inexpensive high-throughput genotyping. Here, we present an efficient approach developed specifically for genotyping large fixed panels of diploid individuals. The cost-effective, open-source nature of our methodology may make it particularly attractive to those working in nonmodel systems.
dc.publisherBioMed Central
dc.rightsThis is and Open Access article distributed under the terms of the Creative Commons license (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.urihttp://creativecommons.org/licenses/by/2.0
dc.titleA low-cost open-source SNP genotyping platform for association mapping applications
dc.typeArticle
kusw.kuauthorMacdonald, Stuart J.
kusw.kudepartmentMolecular Biosciences
kusw.oastatusna
dc.identifier.doi10.1186/gb-2005-6-12-r105
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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This is and Open Access article distributed under the terms of the Creative Commons license (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as: This is and Open Access article distributed under the terms of the Creative Commons license (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.