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Bioinformatics Algorithms and Predictive Models: The Grand Challenge in Computational Virology
- Never in the past has the relevance of bioinformatic and predictive tools been more central in the field of virology as today. SARS-CoV-2 has brought along a huge health burden, but also a deeper awareness that scientific progress can no longer be effective without extensive systems for data storage, sharing and analysis, as well as computational tools dedicated to molecular epidemiology, NGS data analysis, prediction of drug targets, multi-OMIC data integration, and many other applications.
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| Author: | Manuela Sironi, Lars KaderaliORCiD |
|---|---|
| URN: | urn:nbn:de:gbv:9-opus-64959 |
| DOI: | https://doi.org/10.3389/fviro.2021.684608 |
| ISSN: | 2673-818X |
| Parent Title (English): | Frontiers in Virology |
| Publisher: | Frontiers Media S.A. |
| Place of publication: | Lausanne |
| Document Type: | Article |
| Language: | English |
| Date of first Publication: | 2021/04/22 |
| Release Date: | 2022/11/25 |
| Tag: | metagenomics; metaviromics; molecular epidemiology; multi-omic; phylodynamics |
| GND Keyword: | - |
| Volume: | 1 |
| Article Number: | 684608 |
| Page Number: | 3 |
| Faculties: | Universitätsmedizin / Institut für Biometrie und Medizinische Informatik |
| Licence (German): |  Creative Commons - Namensnennung |