Scott Edmunds - June 22, 2021
Following the publication of a new software citation guide we explain more the practicalities and importance of citing research software.
Nicole Nogoy - June 2, 2021
Joining our Giga reproducibility toolkit is Gigantum, with a new paper being our first example using this platform for better collaboration, sharing and making reproducible research easier.
Scott Edmunds - February 25, 2021
Today GigaByte publishes its first Executable Research Article (ERA), using technology from Stencila and Code Ocean to showcase interactive and executable versions of the figures.
Scott Edmunds - February 17, 2021
Today we publish the first update in 12 years describing what’s new in SAMtools, and for the first time the associated BCFtools and HTSlib software library. Here is a Q&A with the authors.
Scott Edmunds - October 22, 2020
Out this week in GigaScience is a new monitoring tool empowering infectious disease detectives. Scientists in Cambodia, who are supported by the Chan Zuckerberg Initiative, the Chan Zuckerberg Biohub, and the Bill & Melinda Gates Foundation, used the new IDseq tool to help confirm and sequence the whole genome of the country’s first case of COVID-19. Read more here.
Scott Edmunds - April 7, 2020
Out today in GigaScience is ShinyLearner, a new tool to make it easier to perform benchmark comparisons of classification algorithms. This tool stands out by making this process super systematic and reproducible, and despite needing to interface with many different libraries and languages it uses software containers (and a CodeOcean demo) so end users don’t […]
Scott Edmunds - August 8, 2019
In Sultry Switzerland, Bioinformatics is Radiant at ISMBECCB Regular readers will know GigaScience originally launched at the 2012 ISMB (Intelligent Systems of Molecular Biology) meeting in Long Beach, and every subsequent year the conference has held a special place in our hearts as the place where we celebrate our birthday (see all the previous write-ups […]
Nicole Nogoy - August 2, 2019
In this data-driven era, research is faced with new challenges, from sharing, storing and accessing data, including how to better integrate data to answer big questions in science. With many data repositories available, it is hard to maintain them all – some repositories are forced to close – meaning loss of access to invaluable datasets. […]
Nicole Nogoy - June 20, 2019
At GigaScience as our focus is on reproducibility rather than subjective impact, it can be challenging at times to judge this in our papers. Targeting the “bleeding edge” of data-driven research, more and more of our papers utilise technologies, such as Jupyter notebooks, Virtual Machines, and Containers such as Docker. Working these tools in to […]
Nicole Nogoy - December 13, 2016
This year has been an eventful one, probably too eventful for many. For GigaScience it has been eventful too, although fortunately in a much more positive way than many have experienced. While there are fears of us entering a “post-truth” era, there is more need than ever for our role as promoters of transparency, reproducibility and providers of cold-hard data. We celebrated our birthday with Mickey Mouse, and experienced many other milestones. On the technical front, this year we have brought you better integration with citable and updatable methods, bigger better and broader data types, and much more. In the tradition of end-of-year-introspection, here is a summary of some of our 2016 achievements as we continue to push the boundaries of innovative publishing of all research objects and reproducible research.