Genome annotation programs often provide a number of useful metrics to access the quality of the annotation. However, these programs often output data in the form of .gff or .xml files, which cannot be visualized easily. It is our aim to develop software that can take .gff or .xml files as input and generate a report that highlights the attributes of the genomic data analyzed.
AnnotQC operates from a Jupyter Notebook which can be accessed using this button: 
Upon clicking, a virtual machine will be generated through Binder.
Since AnnotQC is run using a Binder there is no need to install any packages on your own computer.
A list of packages used in this work is shown below, click to learn more.
Anish Raju, Gabe Needle, Mohammad Sina Shafieinouri, Annan Timmon, and Connor Phillips
Lead by: Vamsi Kodali