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Decontaminating eukaryotic genome assemblies with machine learning
BACKGROUND: High-throughput sequencing has made it theoretically possible to obtain high-quality de novo assembled genome sequences but in practice DNA extracts are often contaminated with sequences from other organisms. Currently, there are few existing methods for rigorously decontaminating eukary...
Gorde:
| Argitaratua izan da: | BMC Bioinformatics |
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| Egile Nagusiak: | , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2017
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5709863/ https://ncbi.nlm.nih.gov/pubmed/29191179 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1941-0 |
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