

Annotation edit for windows software#
To this end, we present Apollo, an open source software package that enables researchers to efficiently inspect and refine the precise structure and role of genomic features in a graphical browser-based platform. Some of Apollo’s newer user interface features include support for real-time collaboration, allowing distributed users to simultaneously edit the same encoded features while also instantly seeing the updates made by other researchers on the same region in a manner similar to Google Docs. Its technical architecture enables Apollo to be integrated into multiple existing genomic analysis pipelines and heterogeneous laboratory workflow platforms. Finally, we consider the implications that Apollo and related applications may have on how the results of genome research are published and made accessible.Ĭitation: Dunn NA, Unni DR, Diesh C, Munoz-Torres M, Harris NL, Yao E, et al. Darling, University of Technology Sydney, AUSTRALIA (2019) Apollo: Democratizing genome annotation. Received: NovemAccepted: JanuPublished: February 6, 2019Ĭopyright: © 2019 Dunn et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: Apollo ( ) is licensed under BSD-3. It can be built from source, and is also available via docker ( ).

It requires a Java Development Kit (JDK) 1.8 and Node.js 6 or better. We also provide a User Guide, a public demo ( ) and information about joining our mailing list ( This work was funded by R01-GM080203 from the National Institute of General Medicine Sciences ( ) to the PI Suzanna Lewis used to fund the majority of this work ( ).

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist. This is a PLOS Computational Biology Software paper.Īpollo’s design is based on the premise that the best genomic descriptions (‘annotations’) can be produced by starting with automatically-generated sequence features and then providing expert researchers with interactive editing tools to examine these multiple sources of evidence and collaboratively refine the genomic annotations.
