Scott Edmunds - March 6, 2023
We have an author Q&A and video abstract with Tazro Ohta where he gives some insight into archiving workflows and his new Yevis platform.
Scott Edmunds - April 8, 2020
Q&A with Stephen Piccolo talking about ShinyLearner, a benchmarking tool for machine-learning classification algorithms, & how it was tested with CODECHECK
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 […]
Peter Li - January 22, 2018
A highlight of 2017 was a 2nd GigaScience hackathon in ourHK office from a metabolomics project called CUDDEL, all thanks to BBSRC China Partnering Award
Scott Edmunds - September 20, 2016
The Galaxy community is one that shares similar reproducibility goals with GigaScience, having a computational platform that allows users to share workflows, histories and wrapped computational tools in an easy-to-use and open source interface. Björn Grüning and The Intergalactic Utilities Commission of Galaxy have a guest posting here to announce new changes that will make development and presentation of tools and pipelines through Galaxy even more reproducible and usable.
Scott Edmunds - July 19, 2016
David Johnson and the PhenoMeNal consortium have a guest posting on their efforts in building an open, community-supported, e-infrastructure for medical metabolomics data, and how they are seeking community feedback on the requirements for the data infrastructures needed.
Scott Edmunds - July 10, 2016
The 2016 Bioinformatics Open Source Conference has just finished here at Disney World Orlando, and here is the write up of the meeting, with discussion on the merits of open bioinformatics and closed cartoons.
Scott Edmunds - June 16, 2016
Following our announcement this month of a new collaboration and integration with protocols.io, we’ve gone into more detail on the first two papers that have utilised this open access repository of scientific methods and collaborative protocol-centered platform. To give some insight into his work, we have one of our author Q&As with Associate Professor Tony Papenfuss, lead author of our scabies genome paper.
Scott Edmunds - June 3, 2016
Two new research papers on scabies and tapeworms published today showcase a new collaboration with protocols.io. This demonstrates a new way to share scientific methods that allows scientists to better repeat and build upon these complicated studies on difficult-to-study parasites. It also highlights a new means of writing all research papers with citable methods that can be updated over time.
Nicole Nogoy - March 13, 2016
We are continuing our support for metabolomics open data and training with a 2nd BBSRC UK-China collaboration grant focussing on metabolomics data