| Literature DB >> 33819811 |
Jutte J C de Vries1, Julianne R Brown2, Natacha Couto3, Martin Beer4, Philippe Le Mercier5, Igor Sidorov6, Anna Papa7, Nicole Fischer8, Bas B Oude Munnink9, Christophe Rodriquez10, Maryam Zaheri11, Arzu Sayiner12, Mario Hönemann13, Alba Perez Cataluna14, Ellen C Carbo15, Claudia Bachofen16, Jakub Kubacki17, Dennis Schmitz18, Katerina Tsioka19, Sébastien Matamoros20, Dirk Höper21, Marta Hernandez22, Elisabeth Puchhammer-Stöckl23, Aitana Lebrand24, Michael Huber25, Peter Simmonds26, Eric C J Claas27, F Xavier López-Labrador28.
Abstract
Metagenomic next-generation sequencing (mNGS) is an untargeted technique for determination of microbial DNA/RNA sequences in a variety of sample types from patients with infectious syndromes. mNGS is still in its early stages of broader translation into clinical applications. To further support the development, implementation, optimization and standardization of mNGS procedures for virus diagnostics, the European Society for Clinical Virology (ESCV) Network on Next-Generation Sequencing (ENNGS) has been established. The aim of ENNGS is to bring together professionals involved in mNGS for viral diagnostics to share methodologies and experiences, and to develop application guidelines. Following the ENNGS publication Recommendations for the introduction of mNGS in clinical virology, part I: wet lab procedure in this journal, the current manuscript aims to provide practical recommendations for the bioinformatic analysis of mNGS data and reporting of results to clinicians.Entities:
Keywords: Bioinformatics; Diagnostics; NGS/HTS; Pathogens; Pipeline; Viral metagenomics
Year: 2021 PMID: 33819811 DOI: 10.1016/j.jcv.2021.104812
Source DB: PubMed Journal: J Clin Virol ISSN: 1386-6532 Impact factor: 3.168