title: Reduced representation methods for subgenomic enrichment and next-generation sequencing.
abstract: Several methods have been developed to enrich DNA for subsets of the genome prior to next-generation sequencing. These front-end enrichment strategies provide powerful and cost-effective tools for researchers interested in collecting large-scale genomic sequence data. In this review, I provide an overview of both general and targeted reduced representation enrichment strategies that are commonly used in tandem with next-generation sequencing. I focus on several key issues that are likely to be important when deciding which enrichment strategy is most appropriate for a given experiment. Overall, these techniques can enable the collection of large-scale genomic data in diverse species, providing a powerful tool for the study of evolutionary biology.
authors: Division of Biological Sciences, University of Montana, Missoula, MT, USA. jeffrey.good@mso.umt.edu
authors: Jeffrey M
authors: JM
authors: Good
mesh_terms: D000818:Animals; D016678:Genome / Q000235:genetics*; D023281:Genomics / Q000191:economics / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000191:economics / Q000379:methods*