Making sense of genomic data: COVID-19 web-based bioinformatics

Develop your understanding of bioinformatics and SARS-CoV-2 data analysis:
Although testing and sequencing capacity has improved, in low-and-middle-income countries (LMICs) bioinformatics analyses still represent a bottleneck in the implementation of effective viral surveillance programmes.

This course will introduce you to SARS-CoV-2 bioinformatics pipelines. You will then learn how to use the web-based tool Galaxy for bioinformatics analyses, including how to input and process data, build a pipeline, and use existing workflows.

Explore the process of identifying SARS-CoV-2 variants across global networks:
Using COVID-19 as an example, you’ll be introduced to genomic epidemiology through the lens of data sharing across global networks. You will examine best practices for data sharing in public databases.

Then, you will move on to explore phylogenetics, the best tools to use, and the models developed for SARS-CoV-2 analyses. To tie it all together, you will learn how to create and share public health reports.

Learn from global experts in bioinformatics:
The educators and developers of this course are experts in bioinformatics working on data analyses and SARS-CoV-2 bioinformatics in different parts of the world. With this experience, the team is uniquely positioned to help you understand and get a step up in web-based SARS-CoV-2 bioinformatics.

Keywords: bioinformatics, NGS bioinformatics, Next generation sequencing data analysis, covid-19, sars-cov-2, coronavirus, data-analysis, data visualization, genomics, Genomic data, pipelines, Galaxy, nexstrain


Additional information

Target audience: scientific researchers, public health professionals and clinicians

Resource type: FREE online course

Authors: Our core educator team can be found on our course page.

Contributors: Our list of contributors can be found on our course page.