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.
This review highlights the past, present and future of genomic systems biology visualization-highlighting the latest libraries and programming languages that enable more effective and faster methods for visualizing biological concepts.
Comparing variation detection performance using single-cell resequencing amplified by different methods will help guide researchers to determine which is best suited to their experimental needs at a single-cell level.
We present a new algorithm to scaffold high-quality genome assemblies, without the need for read alignment or base correction, that harnesses the potential of long-read sequencing technologies.
Virtual containers unload a wealth of resources to tackle climate change, with meta- genomic and transcriptomic sequencing data and pipelines from a biogas plant presented in a docker container for others to use.
In an effort to enhance the reproducibility of research, BioMed Central launches a trial checklist for authors and reviewers.
- 30 July 2015
- Fermenting a Reproducible Research Revolution
- 19 July 2015
- Birthdays and Homecomings at ISMB-ECCB in Dublin
- 12 July 2015
- Open Bioinformatics in The Irish Free Software State
GigaDB: The GigaScience Database
- Supporting materials for "Determination of Nonlinear Genetic Architecture using Compressed Sensing".
- Supporting data for "Addressing health disparities in Hispanic breast cancer: Accurate and inexpensive sequencing of BRCA1 and BRCA2".
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.
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.