Efficient Ancient Genome Reconstruction
With EAGER, we provide an intuitive and user-friendly way for researchers to address two problems in current ancient genome reconstruction projects. First of all, we want to allow users to efficiently preprocess, map and analyze ancient genomic data using a standardized general framework for small (e.g. bacteria), medium, and larger (e.g. human) genome reconstruction projects. Secondly, we want to provide a user-friendly interface that allows even users with only little knowledge of bioinformatics to run EAGER without the necessity to fully understand all the underlying technical details.
EAGER consists of two distinct components that can be used separately to generate a workflow utilizing a graphical user interface. There are plans to further extend and simplify the usage of the framework by integrating newly developed methods and tools.
Installation instructions, tutorial information and the documentation are available in the documentation.
The source code for EAGER is available on GitHub, accompanied by the sources for all additional tools coming with EAGER.
If you use EAGER, please cite:
A. Peltzer; G. Jäger; A. Herbig; S. Seitz; C. Kniep; J. Krause; K. Nieselt: EAGER: efficient ancient genome reconstruction (Genome Biology 2016, 17:60, doi:10.1186/s13059-016-0918-z)
For questions and bug reports, see the GitHub website. Ideally, you could open an issue ticket on GitHub in the corresponding project, as you will get updates on when bugs are fixed then, too.