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.


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  • Image attributed to: Nevit Dilmen Wikimedia commons

    Reproducible neurophysiology resources

    A curated data repository and analysis framework of spontaneous neural activity recordings in developing retina is presented as a dynamic literate programming document, with programs and data hosted here and the CARMEN portal

    GigaScience 2014, 3:3
  • Image attributed to: UniProt logo

    Gene ontology updates, and why they matter

    GO data and annotations are integral in functional analyses, but unobserved updates can impact on results. Using UniProt as an example, this review explains what changes are occurring and how this can impact on a search

    GigaScience 2014, 3:4
  • Image attributed to: CG_Galaxy logos

    The complete, Complete Genomics toolkit

    Accurate web-based analytical and visualisation tools for selection of candidate mutations from Complete Genomics sequencing data has just gotten simpler using the CGAtools tools implemented in Galaxy

    GigaScience 2014, 3:1
  • A Galaxy of genome diversity tools

    The first GigaScience Galaxy series paper presents and shows how to design, implement, test, document and distribute an easy to use Galaxy tool collection for genome variation data analysis

    GigaScience 2013, 2:17
  • Introducing the EMPeror

    Due to the increasing number of microbial community samples, new tools are needed for describing this data. EMPeror is a versatile open source tool that allows rapid exploratory investigations of 3D visualizations of microbial community data

    GigaScience 2013, 2:16



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Publication fees

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

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