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Detecting false positive sequence homology: a machine learning approach

BACKGROUND: Accurate detection of homologous relationships of biological sequences (DNA or amino acid) amongst organisms is an important and often difficult task that is essential to various evolutionary studies, ranging from building phylogenies to predicting functional gene annotations. There are...

詳細記述

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書誌詳細
出版年:BMC Bioinformatics
主要な著者: Fujimoto, M. Stanley, Suvorov, Anton, Jensen, Nicholas O., Clement, Mark J., Bybee, Seth M.
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4765110/
https://ncbi.nlm.nih.gov/pubmed/26911862
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-0955-3
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