Tag Archives: #usegalaxy
Birthdays and Online Conferences go Viral. ISMB2020 & BCC2020 in the time of COVID-19
Chris Armit - July 27, 2020
Meetings In the Time of Coronavirus: Conferences go Viral June-July usually marks peak conference season when the GigaScience team is on the road, but with the COVID-19 pandemic shutting down travel and public gatherings it has been a strangely static summer. As we launched at the Intelligent Systems for Molecular Biology (ISMB) conference in Long […]
And the winner is…volume 2. ICG13 prize winners on GigaTV
Scott Edmunds - May 21, 2019
Just out in GigaScience is a new paper presenting Rice Galaxy, an open resource for plant science using the Galaxy workflow management system we are so fond of. The authors from the International Rice Research Institute in the Phillipines are winners of our 2018 ICG13 Prize, and as this is the final paper to be […]
Meet the GigaScience ICG Prize Winners, Pt. 1: Aequatus
Scott Edmunds - November 14, 2018
This is the Dawning of the Age of Aequatus Our ICG Prize is over now for another year, and we’ll shortly follow up with an announcement on which of the six winners won the $1000 first prize. To help you see how great all the entries were we will introduce and profile some of the […]
Guardians of the Galaxy Workflow
Scott Edmunds - April 28, 2017
While the Guardians of the Galaxy film franchise has just released its second film, the GigaScience Galaxy series has just published its 10th, 11th and 12th papers. And all without the need of expensive CGI, although we do have our GigaGalaxy server on standby for additional computational support. For those not part of their large […]
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.
GigaMetabolomics Strikes Again: More BYO Data Parties and a Thematic Series
Nicole Nogoy - March 13, 2016
The genomics community has been held up as an exemplar in data sharing practices since the human genome project, but the metabolomics community is catching up fast, with the Metabolights database being the fast growing repository at the EBI. In this light, GigaScience has been actively involved in reaching out and engaging with the metabolomics […]
Open Bioinformatics in The Irish Free Software State
Scott Edmunds - July 12, 2015
BOSC2015 has in Dublin has just ended, so we look back over the meeting at some of the talks we enjoyed, and projects we have participated in.
All systems go at ICSB 2014 and the Great GigaScience and Galaxy (G3) workshop
Nicole Nogoy - September 24, 2014
The 2014 International Conference on Systems Biology (ICSB) was hosted in Australia’s most livable city and event, sport, culture and food capital – that is Melbourne, with GigaScience being proud to be one of the media partners. Stem cell biology was a major theme on the first day, and kicked off to a strong start […]
Continuing our #usegalaxy series at the 2014 Galaxy Community Conference
Scott Edmunds - February 20, 2014
The upcoming 2014 Galaxy Community Conference (GCC2014) has just opened early registration, and following from our series announced at the last meeting we are renewing our call for papers for our special thematic focused series on studies utilizing large-scale datasets and workflows. For those not part of their large and rapidly growing user base, Galaxy is an open, web-based platform for data […]
Rewarding Reproducibility: First Papers in our Galaxy Series utilizing our GigaGalaxy platform
Scott Edmunds - February 6, 2014
Push the button! GigaScience moves toward more interactive articles Research articles are being published with increasingly large and complicated supporting datasets, together with the software code used in analyses of the data. However, there is a growing number of studies reporting the inability to reproduce previously published findings which may, at least in part, be […]