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Filling gaps in bacterial catabolic pathways with computation and high-throughput genetics.
To discover novel catabolic enzymes and transporters, we combined high-throughput genetic data from 29 bacteria with an automated tool to find gaps in their catabolic pathways. GapMind for carbon sources automatically annotates the uptake and catabolism of 62 compounds in bacterial and archaeal geno...
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| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science (PLoS)
2022-04-01
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| Серии: | PLoS Genetics |
| Online-ссылка: | https://doi.org/10.1371/journal.pgen.1010156 |
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