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.
As an extremely popular toolset for genome-wide association studies and population genetics analyses, PLINK has had a dramatic makeover: faster, more compatible and able to handle the latest feature rich and massive datasets
We present a dataset of 31 time-lapse in vitro wound healing experiments of two cell lines with detailed description of data, scripts and experimental validation that have never been reported before
Here we present SmileFinder-a tool that looks for genome-wide diversity and divergence patterns consistent with selection sweeps by evaluating allele frequencies between two or more diploid populations
Pop and Mendelowitz highlight key principles for building consensus optical maps and review software tools and methods to get the most out of analyzing optical mapping data
BioNano Genomics technology is a comprehensive and cost-effective method for detecting structural variation and studying complex regions in the human genome, and we present this data as part of our Optical Mapping series
GigaDB: The GigaScience Database
- Software and supporting material for "Second-generation PLINK: rising to the challenge of larger and richer datasets".
- Nontargeted metabolomics and lipidomics HPLC-MS data from maternal plasma of 180 healthy pregnant women.
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.