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Apollo: Democratizing genome annotation

Authors: Nathan A. Dunn; Deepak R. Unni; Colin Diesh; Monica Munoz-Torres; Nomi L. Harris; Eric Yao; Helena Rasche; +3 Authors

Apollo: Democratizing genome annotation

Abstract

AbstractGenome annotation is the process of identifying the location and function of a genome’s encoded features. Improving the biological accuracy of annotation is a complex and iterative process requiring researchers to review and incorporate multiple sources of information such as transcriptome alignments, predictive models based on sequence profiles, and comparisons to features found in related organisms. Because rapidly decreasing costs are enabling an ever-growing number of scientists to incorporate sequencing as a routine laboratory technique, there is widespread demand for tools that can assist in the deliberative analytical review of genomic information. To this end, Apollo is 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.In this paper we first outline some of Apollo’s newer user interface features, which were driven by the needs of this expanding genomics community. These 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. Source: https://github.com/GMOD/ApolloLicense (BSD-3): https://github.com/GMOD/Apollo/blob/master/LICENSE.mdDocker: https://hub.docker.com/r/gmod/apollo/tags/, https://github.com/GMOD/docker-apolloRequirements: JDK 1.8, Node v6.0+User guide: http://genomearchitect.org; technical guide: http://genomearchitect.readthedocs.io/en/latest/Mailing list: apollo@lists.lbl.gov

Country
United States
Keywords

Bioinformatics, QH301-705.5, 3102 Bioinformatics and Computational Biology (for-2020), Bioinformatics and Computational Biology, Information Storage and Retrieval, Bioengineering, Biotechnology (rcdc), 3105 Genetics (for-2020), Mathematical Sciences, 46 Information and Computing Sciences (for-2020), User-Computer Interface, Information and Computing Sciences, Genetics, Biology (General), Internet, 31 Biological Sciences (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), 3 Good Health and Well Being (sdg), Genome, Genetics (rcdc), Bioengineering (rcdc), Generic health relevance (hrcs-hc), Human Genome, Chromosome Mapping, Computational Biology, Molecular Sequence Annotation, Genomics, Biological Sciences, Human Genome (rcdc), 004, Good Health and Well Being, Networking and Information Technology R&D (NITRD), Database Management Systems, Generic health relevance, Software, Biotechnology, Research Article

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
222
Top 1%
Top 10%
Top 0.1%
Green
gold