Title |
A mixture framework for inferring ancestral gene orders
|
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Published in |
BMC Genomics, January 2012
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DOI | 10.1186/1471-2164-13-s1-s7 |
Pubmed ID | |
Authors |
Yiwei Zhang, Fei Hu, Jijun Tang |
Abstract |
Inferring gene orders of ancestral genomes has the potential to provide detailed information about the recent evolution of species descended from them. Current popular tools to infer ancestral genome data (such as GRAPPA and MGR) are all parsimony-based direct optimization methods with the aim to minimize the number of evolutionary events. Recently a new method based on the approach of maximum likelihood is proposed. The current implementation of these direct optimization methods are all based on solving the median problems and achieve more accurate results than the maximum likelihood method. However, both GRAPPA and MGR are extremely time consuming under high rearrangement rates. The maximum likelihood method, on the contrary, runs much faster with less accurate results. |
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