ASPIRE - Artificial intelligence for detecting alternative splicing in patient-specific infection research
Schlussbericht
| dc.contributor.author | Topf, Maya | |
| dc.contributor.author | Grünewald, Kay | |
| dc.contributor.author | Nair, Sanjana | |
| dc.date.accessioned | 2025-10-08T10:34:48Z | |
| dc.date.available | 2025-10-08T10:34:48Z | |
| dc.date.issued | 2025-10-08 | |
| dc.description.version | publishedVersion | |
| dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/24257 | |
| dc.identifier.uri | https://doi.org/10.34657/23274 | |
| dc.language.iso | ger | |
| dc.publisher | Hannover : Technische Informationsbibliothek | |
| dc.relation.affiliation | Leibniz Institut für Virologie | |
| dc.rights.license | Creative Commons Attribution-NonDerivs 3.0 Germany | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nd/3.0/de/ | |
| dc.subject.ddc | 500 | Naturwissenschaften | |
| dc.title | ASPIRE - Artificial intelligence for detecting alternative splicing in patient-specific infection research | eng |
| dc.title.subtitle | Schlussbericht | |
| dc.type | Report | |
| dcterms.extent | 1, 3, 10 Seiten | |
| dtf.duration | 01.01.2022-31.12.2024 | |
| dtf.funding.funder | BMFTR | |
| dtf.funding.program | 031L0287A | |
| dtf.funding.verbundnummer | 01241743 | |
| tib.accessRights | openAccess | |
| wgl.contributor | LIV |
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