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 is the genome of the Australian dragon lizard Pogona vitticeps, an interesting model for studying sex determination due to its ability to change from genotypic to temperature-dependent sex determination
Predicting dysbiosis from microbiome community interaction data provides a potentially powerful tool for understanding the links between the human microbiome and human health
Analyzing the performance of function prediction methods for the latest Critical Assessment of Function Annotation challenge shows cross-validation is not adequate at estimating performance and ranking methods
Metagenomics studies produce growing volumes of high-resolution sequence datasets, and novel tools are needed to efficiently process these for accurate analysis and interpretation. Tentacle is a novel framework for such gene quantification
The sequence comparison tool suite BLAST+ has been wrapped for easier use with the Galaxy workflow system, and is also available in MyExperiment and as a Docker Image
- 01 October 2015
- #peerrevwk15 News: Crediting our Amazing Reviewers with DOIs
- 28 September 2015
- Putting credit back into the hands of researchers
- 16 September 2015
- Neuroinformatics Gets Tropical Down Under
GigaDB: The GigaScience Database
- Supporting data and materials for "The PFP and ESG protein function prediction methods in 2014: effect of database updates and ensemble approaches".
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.