GigaScience aims to revolutionize data dissemination, organization, understanding, and use. An online open-access open-data journal, we publish 'big-data' studies from the entire spectrum of life and biomedical sciences. To achieve our goals, the journal has a novel publication format: one that links standard manuscript publication with an extensive database that hosts all associated data and provides data analysis tools and cloud-computing resources.

Our scope covers not just 'omic' type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale sharable data.

Articles

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  • The CORT dataset: common optimization for radiation therapy

    Here we present a wealth of computed tomography (CT) scan data to the radiation oncology community, which will allow researchers to compare methods for optimizing radiation dose delivery

    GigaScience 2014, 3:37
  • Image attributed to: Adelie penguin chicks molting_wikimedia

    P-p-p-pick up a penguin from GigaDB

    Found only in the Southern Hemisphere, some penguins have adapted to living in the harsh environment of Antarctica. To understand their biology and evolutionary history, we present the genomes of two commonly found penguins in Antarctica: Adelie and Emperor penguin

    GigaScience 2014, 3:27
  • Image attributed to: Darwin_birds_mosaic

    Avian Phylogenomics Project sets birds free

    Genomic data of 38 birds are released for the first time along with full genome assembly of 48 birds from the Avian Phylogenomics Project - the largest comparative study to date

    GigaScience 2014, 3:26
  • Ten tips for engineering biological software

    We present ten principles for scientific researchers not typically trained in software engineering to create better software and to ensure usability, sustainability and practicality of research software

    GigaScience 2014, 3:31
  • Image attributed to: marketingsfacts.nl_neuromarketing_CCBY

    How machine learning enhances fMRI data

    Here, Varoquaux and Thirion review how cognitive neuroimaging (fMRI) and machine learning can further our understanding, including how and what predictive models teach us about the brain

    GigaScience 2014, 3:28

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There are currently no article processing charges (APCs) for articles published in GigaScience due to generous support from BGI.

A savings of £1250 (based on 2014 prices)

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GigaDB: The GigaScience Database

Supporting material for: De novo assembly of a haplotype-resolved human genome.
Supporting material for: "Rapid detection of structural variation in a Human genome using nanochannel-based genome mapping technology".
Supporting materials for: "Clinical outcome of preimplantation genetic diagnosis and screening using next generation sequencing".

GigaScience hosts all the relevant data and tools from articles published in the journal in its affiliated database, GigaDB. Supporting the open-data movement, data in GigaDB is released under a public domain CC0 waiver. For information on how to submit data with your manuscript, see the instructions for authors. All datasets hosted in GigaDB are assigned a DOI that allows data citation. GigaDB is tracked by the Thomson Reuters Data Citation Index. GigaDB can also provide hosting and DOIs for Software and Workflows integrated into our GigaGalaxy server, as this provides a clear and easy way for researchers to find and use methodology and tools from articles, making work more reproducible and easier to build on.


Data generated in the course of research are just as valuable to academic discourse as papers, and GigaDB provides a direct link between articles and their data by allowing data to be cited to assign due credit and allow its impact and use to be tracked. Submission of data to GigaDB complements but does not serve as a replacement for community approved public repositories, and, thus, supporting data and source code should also be made publicly available in a suitable public repository. See our paper for more information.

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BGI was founded in Beijing in 1999 with the mission of supporting scientific and technological development, building strong research teams, and promoting international partnerships. Now the worlds largest genomics organization, in 2007, BGI relocated to Shenzhen as the first citizen-managed, non-profit research institution in China. To further its goals of making scientific information broadly accessible, BGI, in collaboration with BioMed Central, is now contributing to scientific communication by publishing the open-access international research journal GigaScience and hosting its integrated database GigaDB.

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ISSN: 2047-217X