ARTICnetwork & CLIMB-BIG-DATA present a panel discussion on overcoming barriers to SARS-CoV-2 data analysis with Nick Loman and Will Rowe from the University of Birmingham, Áine O'Toole from the University of Edinburgh, Andrew Page from the Quadram Institute and Anna Price from MRC CLIMB and Cardiff University. This was part of a workshop on COVID-19 data analysis.

Topics covered:

Collecting sample metadata

intrapatient variability

Building bridges with policy makers to start sequencing

Data sharing

Improving bioinformatics skills

Pipeline and software validation

Bioinformatics reproducibility and quality

Papers:

The PHA4GE SARS-CoV-2 Contextual Data Specification for Open Genomic Epidemiology https://www.preprints.org/manuscript/202008.0220/v1

MAJORA: Continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance https://www.biorxiv.org/content/10.1101/2020.10.06.328328v1

Genomic sequencing of SARS-CoV-2: a guide to implementation for maximum impact on public health https://www.who.int/publications/i/item/9789240018440

Resources:

https://www.climb.ac.uk/artic-and-climb-big-data-joint-workshop/

https://github.com/SamStudio8/majora

https://soundcloud.com/microbinfie/majora

https://github.com/pha4ge/SARS-CoV-2-Contextual-Data-Specification

https://pha4ge.org/

Software:

https://github.com/cov-lineages/pangolin

https://github.com/artic-network/civet

https://github.com/COG-UK/grapevine

https://github.com/cov-lineages/pangoLEARN