Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time and with less pain. This workshop uses Data Carpentry's approach to teach data management and analysis for comparative bacterial genomics research, including: best practices for the organization of bioinformatics projects and data, use of command-line tools to compare genetic diversity between genomes, organize this diversity in the core and dispensable set of a pangenome, use of command-line tools to obtain and organize biosynthetic gene clusters, and connecting to and using cloud computing. This workshop is designed to be taught over two full days of instruction.
Please note that workshop materials for working with Comparative Genomics data are in “pre-alpha” development. These lessons are available for review and for informal teaching experiences but are not yet part of The Carpentries’ official lesson offerings.
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Interested in teaching these materials? We have an Slack channel were we will be happy to help you!
Read our FAQ to learn more about Data Carpentry's Comparative Bacterial Genomics Workshop, as an Instructor or a workshop host. FIX FAQ 💢 {: .callout}
This lesson assumes that learners have no prior experience with the tools covered in the workshop. However, learners are expected to be familiar with biological concepts, including the concepts of prokaryotic genome, biosynthetic gene cluster, and metabolite. Participants should bring their own laptops and plan to participate actively.
{: .prereq}
This workshop uses data from the research "Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: Implications for the microbial 'pan-genome' ", PNAS 2005. doi 10.1073/pnas.0506758102. In this research, while studying the available genomes of S. agalactiae, Tettelin and collaborators discovered that there was inter-species genome variation, and in consequence one genome is not enough to describe the genetic repertoire of a species. All of the data used in this workshop can be downloaded from:
More information about this data is available on the Data page. {: .prereq}
| Lesson | Overview | Estimated time |
|---|---|---|
| Introduction to the Command Line for Pangenomics | Learn to navigate your file system, create, copy, move, and remove files and directories, and automate repetitive tasks using scripts and wildcards. | 4:00 hrs |
| Introduction to Python | Learn the basics of the Python language. | 01:00 hrs |
| Pangenome Analysis in Prokaryotes | Download genomes and functionally annotate. | 01:00 hrs |
| Genome Mining in Prokaryotes | Use command line and web-based tools for biosynthetic gene cluster prediction and organization. | 04:30 hrs |
This workshop is designed to be run on pre-imaged Amazon Web Services (AWS) instances. All the software and data used in the workshop are hosted on an Amazon Machine Image (AMI). If you want to run your own instance of the server used for this workshop, follow the directions in the Setup tab.