Tag Archives: reproducible research
CUDDELing up to metabolomics in Hong Kong
Peter Li - January 22, 2018
As mentioned in our Happy New Year blog post, one of the highlights in 2017 was a second GigaScience hackathon workshop which we held in November last year in our Hong Kong BGI office. Funding for this workshop came from a project we have called CUDDEL which was awarded a grant by the BBSRC from their China […]
Research Parasites Wanted. Q&A with Casey Greene & Brian Byrd
Scott Edmunds - September 14, 2017
As a journal focussed on open science we are big promoters of research parasites (and research on parasites), and try to feeds them with open data and tools. It is therefore appropriate this is the second year GigaScience has supported and sponsored the Research Parasite awards. In one of our Q&As, organisers Casey Greene and […]
Data Intensive Software Publishing & Sailing The Code Ocean. Q&A With Ruibang Luo.
Scott Edmunds - June 27, 2017
GigaScience is always trying to push the boundaries of how we disseminate reproducible research, and to adapt to the challenges of dealing with experiments become more data-intensive. We now showcase a new reproducible research platform we’ve been testing called Code Ocean, and have a Q&A with our Author Ruibang Luo on his experiences using it. […]
Remember Remember, It’s Neuro-November!
Nicole Nogoy - November 1, 2016
Halloween may be over, but this November GigaScience will be continuing to fight the zombie (paper) apocalypse and binge on sweet sweet brains (research outputs).
Guest posting: Conda as a new standard for Galaxy tool dependencies
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.
The lowest common denominator: marketing science with jIF
Scott Edmunds - July 8, 2016
Our Editor in Chief Laurie Goodman gives her thoughts on the journal impact factor (jIF), and how we need to move beyond shallow, untransparent, gameable, out-of-date proxies that promote bad scientific practices.
Of Parasites & Protocols, Part 3. Author Q&A with Tony Papenfuss
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.
The Complexities of Modern Plant Phenomics: A Guest Blog by our Plant Phenomics Series Guest Editors
Nicole Nogoy - June 7, 2016
Here, four enthusiastic Guest Editors (Rubén Rellán Álvarez, Guillaume Lobet, Malia Gehan and Srikant Srinivasan) of our “Plant Phenomics: Data Integration & Analysis” series, have got together and share their insights on the current status of Plant Phenomics research.
Parasite Protocols Part 2. Author Q&A with François Olivier Hébert
Following our “Reproducible Research Resources for Research(ing) Parasites” announcement of a collaboration with protocols.io, we thought we would go into more detail on our first papers integrating their methodologies on this platform. To give some insight into his work, we have one of our author Q&As with first author François Olivier Hébert.
Reproducible Research Resources for Research(ing) Parasites
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.