TY - JOUR
AU - 
AB - Hindawi Publishing Corporation BioMed Research International Volume 2014, Article ID 675158, 9 pages http://dx.doi.org/10.1155/2014/675158 Research Article Defining Loci in Restriction-Based Reduced Representation Genomic Data from Nonmodel Species: Sources of Bias and Diagnostics for Optimal Clustering 1 2 3 Daniel C. Ilut, Marie L. Nydam, and Matthew P. Hare Department of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14850, USA Division of Science and Mathematics, Centre College, Danville, KY 40422, USA Department of Natural Resources, Cornell University, Ithaca, NY 14850, USA Correspondence should be addressed to Daniel C. Ilut; dci1@cornell.edu Received 28 February 2014; Revised 2 June 2014; Accepted 4 June 2014; Published 25 June 2014 Academic Editor: Tzu-Ya Weng Copyright © 2014 Daniel C. Ilut et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Next generation sequencing holds great promise for applications of phylogeography, landscape genetics, and population genomics in wild populations of nonmodel species, but the robustness of inferences hinges on careful experimental design and eeff ctive bioinformatic removal of predictable artifacts. Addressing this issue, we use published genomes from a tunicate, stickleback, and 
TI - Defining Loci in Restriction-Based Reduced Representation Genomic Data from Nonmodel Species: Sources of Bias and Diagnostics for Optimal Clustering
JF - BioMed Research International
DO - 10.1155/2014/675158
DA - 2014-01-01
UR - https://www.deepdyve.com/lp/unpaywall/defining-loci-in-restriction-based-reduced-representation-genomic-data-40JlDbzqa0
DP - DeepDyve
ER -