Tag Archives: galaxy

Meet the GigaScience ICG Prize Winners, Pt. 1: Aequatus

- November 14, 2018

Aquaetus

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 […]

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Guardians of the Galaxy Workflow

- 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 […]

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Guest posting: Conda as a new standard for Galaxy tool dependencies

- 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.

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GigaMetabolomics Strikes Again: More BYO Data Parties and a Thematic Series

- 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 […]

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We Wish You a GigaChristmas: A 2015 Wrap-Up

- December 14, 2015

Last Christmas we gave you our heart; okay forget George Michael – we gave you beautiful imaging data sets, Virtual Machines, BYO data parties, GigaGitHub, more open peer review plus much more. However, in 2015 GigaScience has delivered anything but less, with more technical developments and exemplar papers published – GigaScience continues to push the […]

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Open Bioinformatics in The Irish Free Software State

- 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.

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Getting Techy With It: GigaScience Technology Update 2014

- November 27, 2014

When it comes to technology, GigaScience has always been open and willing to embrace new ways of integrating technology in its publishing processes, with the ultimate goal of working towards more reproducible, interactive and executable papers. So far, 2014 has been an extremely busy year for Team Giga with regards to various technical developments as […]

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All systems go at ICSB 2014 and the Great GigaScience and Galaxy (G3) workshop

- 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 […]

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Continuing our #usegalaxy series at the 2014 Galaxy Community Conference

- 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 […]

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Rewarding Reproducibility: First Papers in our Galaxy Series utilizing our GigaGalaxy platform

- 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 […]

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