Project name: SARS-CoV-2

Description: Next generation sequencing technologies have enabled large-scale genomic surveillance of SARS-CoV-2 as thousands of isolates are being sequenced around the world and deposited in public data repositories. A number of methods using both short and long read technologies are currently being applied for SARS-CoV-2 sequencing, including amplicon approaches, metagenomic methods, and sequence capture or enrichment methods. Here we compare methods for SARS-CoV-2 sequencing.

Data type: raw sequence reads

Sample scope: Environment

Relevance: Medical

Last updated: 2020-05-07