An explosive growth is occurring in the quantity, quality and complexity of molecular variation data that are being collected. Historically, such data have been analysed by using model-based methods. Models are useful for sharpening intuition, for explanation and for prediction: they add to our understanding of how the data were formed, and they can provide quantitative answers to questions of interest. We outline some of these model-based approaches, including the coalescent, and discuss the applicability of the computational methods that are necessary given the highly complex nature of current and future data sets. © 2006 Nature Publishing Group.
CITATION STYLE
Marjoram, P., & Tavaré, S. (2006, October 22). Modern computational approaches for analysing molecular genetic variation data. Nature Reviews Genetics. https://doi.org/10.1038/nrg1961
Mendeley helps you to discover research relevant for your work.