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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  • Image attributed to: On the Blueway, Author: Blueway, 18 Jan 2009

    Connecting lake temporal and satellite data

    LAGOS is a multi-scaled geospatial temporal ecology database bringing together the many different, scattered and disparate data on ecosystems - its open-science perspective helping address the challenges of reproducibility.

    GigaScience 2015, 4:28
  • Image attributed to: Ocean Sampling Day Logo

    The OSD and marine microbial biodiversity

    The first paper in our 'data intensive ecology' series is from the Ocean Sampling Day consortia. Here they highlight the project's goals to understand marine microbial biodiversity and function of the world's ocean.

    GigaScience 2015, 4:27
  • GigaDB gives you wings

    Our first phenomics Data Note is an image database of Drosophila melanogaster wings, aiding development and testing of measurement and classification tools for biological images.

    GigaScience 2015, 4:25
  • Automated Access to Reference Data

    BioMAJ2Galaxy is a new module to integrate reference data in the Galaxy worklow system in an automatic, reliable and diskspace-saving way

    GigaScience 2015, 4:22
  • Image attributed to: 3D MS images by Theodore Alexandrov et al. 2015

    MALDI-MS imaging goes 3D

    We present benchmark 3D-MALDI imaging datasets and algorithms collected from five samples using two types of 3D imaging MS - a method challenged by the lack of publicly available benchmark datasets and tools

    GigaScience 2015, 4:20

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GigaDB: The GigaScience Database

Single-cell sequencing data using DOP-PCR, MDA and MALBAC whole genome amplification methods.
Software and supporting material for "SMAP: a streamlined methylation pipelinefor bisulphite sequencing".
Supporting materials for "SOAPdenovo2 Case Study".

GigaScience hosts all the relevant data and tools from articles published in the journal in its affiliated database, GigaDB*. Data in GigaDB is released under a public domain CC0 waiver. All datasets hosted in GigaDB are assigned a DOI that allows data citation**. GigaDB can also provide hosting and DOIs for Software and Workflows integrated into our GigaGalaxy server, making work more reproducible and easier to build on.

For information on how to submit data with your manuscript, see the instructions for authors.

*Submission of data to GigaDB complements but does not serve as a replacement for community approved public repositories, supporting data and source code should also be made publicly available in a suitable public repository.
**GigaDB is tracked by the Thomson Reuters Data Citation Index.

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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