AIMC Topic: Geminiviridae
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Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae.
BMC bioinformatics
Sep 30, 2017
BACKGROUND: Geminiviruses infect a broad range of cultivated and non-cultivated plants, causing significant economic losses worldwide. The studies of the diversity of species, taxonomy, mechanisms of evolution, geographic distribution, and mechanisms...
Geminivirus data warehouse: a database enriched with machine learning approaches.
BMC bioinformatics
May 5, 2017
BACKGROUND: The Geminiviridae family encompasses a group of single-stranded DNA viruses with twinned and quasi-isometric virions, which infect a wide range of dicotyledonous and monocotyledonous plants and are responsible for significant economic los...
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