Abstract
High-throughput genomic sequencing is rapidly changing the field of phylogenetics by decreasing the cost and increasing the quantity and rate of data collection by several orders of magnitude. This deluge of data is exerting tremendous pressure on downstream data-analysis methods providing new opportunities for method development. In this review, we present (a) recent advances in laboratory methods for collection of high-throughput phylogenetic data and (b) challenges and constraints for phylogenetic analysis of these data. We compare the merits of multiple laboratory approaches, compare methods of data analysis, and offer recommendations for the most promising protocols and data-analysis workflows currently available for phylogenetics. We also discuss several strategies for increasing accuracy, with an emphasis on locus selection and proper model choice.
Keywords
WorkflowPhylogeneticsPhylogenetic treeComputer scienceData scienceThroughputData miningComputational biologyBiologyEvolutionary biologyGeneticsGeneDatabase
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Publication Info
- Year
- 2013
- Type
- article
- Volume
- 44
- Issue
- 1
- Pages
- 99-121
- Citations
- 510
- Access
- Closed
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Cite This
Emily Moriarty Lemmon,
Alan R. Lemmon
(2013).
High-Throughput Genomic Data in Systematics and Phylogenetics.
Annual Review of Ecology Evolution and Systematics
, 44
(1)
, 99-121.
https://doi.org/10.1146/annurev-ecolsys-110512-135822
Identifiers
- DOI
- 10.1146/annurev-ecolsys-110512-135822