A novel bioinformatic method for the identification of antimicrobial peptides in metagenomes.
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| Title: | A novel bioinformatic method for the identification of antimicrobial peptides in metagenomes. |
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| Authors: | Megaw J; School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast BT9 5DL, United Kingdom., Skvortsov T; School of Pharmacy, Queen's University Belfast, Medical Biology Centre, 97 Lisburn Road, Belfast BT9 7BL, United Kingdom., Gori G; Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy., Dabai AI; School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast BT9 5DL, United Kingdom., Gilmore BF; School of Pharmacy, Queen's University Belfast, Medical Biology Centre, 97 Lisburn Road, Belfast BT9 7BL, United Kingdom., Allen CCR; School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast BT9 5DL, United Kingdom. |
| Source: | Journal of applied microbiology [J Appl Microbiol] 2024 Mar 01; Vol. 135 (3). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9706280 Publication Model: Print Cited Medium: Internet ISSN: 1365-2672 (Electronic) Linking ISSN: 13645072 NLM ISO Abbreviation: J Appl Microbiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1365-2672 |
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| DOI: | 10.1093/jambio/lxae045 |
