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Accelerating annotation of articles via automated approaches: evaluation of the neXtA(5) curation-support tool by neXtProt
The development of efficient text-mining tools promises to boost the curation workflow by significantly reducing the time needed to process the literature into biological databases. We have developed a curation support tool, neXtA(5), that provides a search engine coupled with an annotation system d...
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| Vydáno v: | Database (Oxford) |
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| Hlavní autoři: | , , , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Oxford University Press
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6301339/ https://ncbi.nlm.nih.gov/pubmed/30576492 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/database/bay129 |
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