Ten computational challenges in human virome studies
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911782829817856 |
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| author | Wu, Yifan Peng, Yousong |
| author_facet | Wu, Yifan Peng, Yousong |
| contents | In recent years, substantial advancements have been achieved in understanding the diversity of the human virome and its intricate roles in human health and diseases. Despite this progress, the field of human virome research remains nascent, primarily hindered by the absence of effective methods, particularly in the domain of computational tools. This perspective systematically outlines ten computational challenges spanning various phases of virome studies, ranging from virus identification, sequencing quality evaluation, genome assembly, annotation of viral taxonomy, genome and proteins, inference of biological properties, applications of the virome in disease diagnosis, interactions with other microbes, and associations with human diseases. The resolution of these challenges necessitates ongoing collaboration among computational scientists, virologists, and multidisciplinary experts. In essence, this perspective serves as a comprehensive guide for directing computational efforts in human virome studies, aiming to significantly propel the field forward. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_15186 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Ten computational challenges in human virome studies Wu, Yifan Peng, Yousong Quantitative Methods In recent years, substantial advancements have been achieved in understanding the diversity of the human virome and its intricate roles in human health and diseases. Despite this progress, the field of human virome research remains nascent, primarily hindered by the absence of effective methods, particularly in the domain of computational tools. This perspective systematically outlines ten computational challenges spanning various phases of virome studies, ranging from virus identification, sequencing quality evaluation, genome assembly, annotation of viral taxonomy, genome and proteins, inference of biological properties, applications of the virome in disease diagnosis, interactions with other microbes, and associations with human diseases. The resolution of these challenges necessitates ongoing collaboration among computational scientists, virologists, and multidisciplinary experts. In essence, this perspective serves as a comprehensive guide for directing computational efforts in human virome studies, aiming to significantly propel the field forward. |
| title | Ten computational challenges in human virome studies |
| topic | Quantitative Methods |
| url | https://arxiv.org/abs/2402.15186 |