首页> Computational and structural biotechnology journal> Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking.

Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking.

导出 OA

翻译打印收藏纠错

第一作者： Sara,Donzelli

第一单位： Oncogenomics and Epigenetics, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

作者： Sara,Donzelli ^[1] ; Ludovica,Ciuffreda ^[2] ; Martina,Pontone ^[3] ; Martina,Betti ^[4] ; Alice,Massacci ^[4] ; Carla,Mottini ^[2] ; Francesca,De Nicola ^[2] ; Giulia,Orlandi ^[5] ; Frauke,Goeman ^[2] ; Eugenia,Giuliani ^[5] ; Eleonora,Sperandio ^[4] ; Giulia,Piaggio ^[2] ; ISG COVID Team ^[5] ; Aldo,Morrone ^[6] ; Gennaro,Ciliberto ^[2] ; Maurizio,Fanciulli ^[1] ; Giovanni,Blandino ^[3] ; Fulvia,Pimpinelli ^[4] ; Matteo,Pallocca

作者单位： Oncogenomics and Epigenetics, IRCCS Regina Elena National Cancer Institute, Rome, Italy. ^[1] SAFU Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy. ^[2] Microbiology and Virology Unit, IRCCS San Gallicano Dermatological Institute, Rome, Italy. ^[3] Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy. ^[4] Scientific Direction, IRCCS San Gallicano Dermatological Institute, Rome, Italy. ^[5] Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy. ^[6]