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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...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2016
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| Soggetti: | |
| Accesso online: | 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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