Finding and fixing genome annotation errors with MaizeCODE: Research and educational applications

Saturday, July 14
9:00 AM - 12:00 PM

Requires pre-registration

MaizeCODE is a collaborative research project to build high-quality genome assemblies for several Maize inbred lines(B73, NC350, W22, and Til 11), and to identify active genomics regions in a variety of tissues and developmental time points.

This workshop will build your understanding of modern genome annotation practices (using the open-source MAKER workflow), and provide insight on the types of uncertainty and mistakes associated with automated annotation. Using MaizeCODE data, we will go through short, hands-on exercises where you will learn parameters and metrics used to identify suspect gene models, and practice using manual curation tools (including Apollo) to fix annotation errors. In addition to providing researchers with important training on critical evaluation of gene annotation, these exercises are part of the larger outreach activities that MaizeCODE is developing for your use in the classroom (educators especially welcome to attend).

The data (including extensive structured metadata) produced by MaizeCODE is a public resource available through the CyVerse MaizeCODE project portal (http://www.maizecode.org/ in development). The computational infrastructure developed by MaizeCODE serves as a foundation for other large-scale genome projects in Maize and other plants and is funded by NSF (IOS 1445025).

Participants should bring a Wi-Fi-enabled laptop to this event.


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Finding and fixing genome annotation errors with MaizeCODE: Research and educational applications



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