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.
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
Magnetic resonance imaging data looking at blood flow to the myocardium and software required to run it are presented as a test bed that can also be downloaded as a virtual hard disk.
GWATCH is a dynamic tool enabling rapid search of large genome-wide datasets, removing privacy constraints by visualizing disease-gene associations, 2D and 3D snapshots of gene regions, and real-time validation
The latest TALEN and CRISPR/Cas9 nuclease genome editing techniques and resources are reviewed, particularly for evolutionary and ecological studies on non model organisms
A first E. coli genome sequenced on the new MinION portable sequencer from Oxford Nanopore is presented and described to encourage the development of better methods to analyse it
No Publication Fees Until 2015
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)
GigaDB: The GigaScience Database
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.
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.
- 12 November 2014
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- 29 October 2014
- Uncovering the tangled roots of plant evolution
fMRI: advances and challenges in big data analysis
Edited by: Prof Russell Poldrack
Published: 17 November 2014
Last updated: 25 November 2014