Title |
MLGO: phylogeny reconstruction and ancestral inference from gene-order data
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Published in |
BMC Bioinformatics, November 2014
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DOI | 10.1186/s12859-014-0354-6 |
Pubmed ID | |
Authors |
Fei Hu, Yu Lin, Jijun Tang |
Abstract |
BackgroundThe rapid accumulation of whole-genome data has renewed interest in the study of using gene-order data for phylogenetic analyses and ancestral reconstruction. Current software and web servers typically do not support duplication and loss events along with rearrangements.ResultsMLGOMLGO (Maximum Likelihood for Gene-Order Analysis) is a web tool for the reconstruction of phylogeny and/or ancestral genomes from gene-order data. MLGOMLGO is based on likelihood computation and shows advantages over existing methods in terms of accuracy, scalability and flexibility.ConclusionsTo the best of our knowledge, it is the first web tool for analysis of large-scale genomic changes including not only rearrangements but also gene insertions, deletions and duplications. The web tool is available from http://www.geneorder.org/server.php. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
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Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Brazil | 2 | 2% |
Germany | 2 | 2% |
Colombia | 1 | 1% |
Unknown | 84 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 20 | 22% |
Student > Ph. D. Student | 18 | 20% |
Researcher | 16 | 18% |
Student > Bachelor | 10 | 11% |
Student > Doctoral Student | 3 | 3% |
Other | 10 | 11% |
Unknown | 12 | 13% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 39 | 44% |
Biochemistry, Genetics and Molecular Biology | 22 | 25% |
Computer Science | 10 | 11% |
Environmental Science | 2 | 2% |
Arts and Humanities | 1 | 1% |
Other | 2 | 2% |
Unknown | 13 | 15% |