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Applying Shannon's information theory to bacterial and phage genomes and metagenomes
All sequence data contain inherent information that can be measured by Shannon's uncertainty theory. Such measurement is valuable in evaluating large data sets, such as metagenomic libraries, to prioritize their analysis and annotation, thus saving computational resources. Here, Shannon's...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3539204/ https://ncbi.nlm.nih.gov/pubmed/23301154 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep01033 |
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