In silico comparative genomics and proteomics to identify potential candidates to monitor coffee-fungi pathogenesis
| dc.contributor.advisor | Solano González, Stefany | |
| dc.contributor.author | Rojas Rojas, Kimberly | |
| dc.contributor.author | Vieto Cárdenas, Paz | |
| dc.date.accessioned | 2024-10-01T18:54:12Z | |
| dc.date.available | 2024-10-01T18:54:12Z | |
| dc.date.issued | 2024 | |
| dc.description.procedence | Escuela de Ciencias Biológicas | |
| dc.description.sponsorship | Universidad Nacional, Costa Rica | |
| dc.identifier.uri | https://hdl.handle.net/11056/29003 | |
| dc.language.iso | spa | |
| dc.rights | Acceso embargado | |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.subject | CAFÉ | |
| dc.subject | HONGOS FITOPATÓGENOS | |
| dc.subject | COFFEE | |
| dc.subject | PHYTOPATHOGENIC FUNGI | |
| dc.title | In silico comparative genomics and proteomics to identify potential candidates to monitor coffee-fungi pathogenesis | |
| dc.type | http://purl.org/coar/resource_type/c_7a1f |
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