Predicting promoters in phage genomes using machine learning models
The renewed interest in phages as antibacterial agents has led to the exponentially growing number of sequenced phage genomes. Therefore, the development of novel bioinformatics methods to automate and facilitate phage genome annotation is of utmost importance. The most difficult step of phage genom...
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| Other Authors: | , , |
| Format: | conferencePaper |
| Language: | eng |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/61781 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/61781 |