Benchmark of thirteen bioinformatic pipelines for metagenomic virus diagnostics using datasets from clinical samples.
Τίτλος | Benchmark of thirteen bioinformatic pipelines for metagenomic virus diagnostics using datasets from clinical samples. |
Publication Type | Journal Article |
Year of Publication | 2021 |
Authors | de Vries, J. J. C., Brown J. R., Fischer N., Sidorov I. A., Morfopoulou S., Huang J., Munnink B. B. Oude, Sayiner A., Bulgurcu A., Rodriguez C., Gricourt G., Keyaerts E., Beller L., Bachofen C., Kubacki J., Samuel C., Florian L., Dennis S., Beer M., Hoeper D., Huber M., Kufner V., Zaheri M., Lebrand A., Papa A., van Boheemen S., Kroes A. C. M., Breuer J., F Lopez-Labrador X., & Claas E. C. J. |
Journal | J Clin Virol |
Volume | 141 |
Pagination | 104908 |
Date Published | 2021 Aug |
ISSN | 1873-5967 |
Abstract | INTRODUCTION: Metagenomic sequencing is increasingly being used in clinical settings for difficult to diagnose cases. The performance of viral metagenomic protocols relies to a large extent on the bioinformatic analysis. In this study, the European Society for Clinical Virology (ESCV) Network on NGS (ENNGS) initiated a benchmark of metagenomic pipelines currently used in clinical virological laboratories. |
DOI | 10.1016/j.jcv.2021.104908 |
Alternate Journal | J Clin Virol |
PubMed ID | 34273858 |