Messaggi di Rogue Scholar

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Pubblicato in GigaBlog

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 published we can now present a summary of the  competition.

Pubblicato in GigaBlog

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 winning papers.

Pubblicato in GigaBlog

Björn Grüning modelling one of our t-shirts. Nowadays, massive amounts of diverse data are generated in biomedical research. To manage it and extract useful information, bioinformatic solutions are needed and software must be developed. The development of a tool should always follow a similar process.

Pubblicato in GigaBlog

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.

Pubblicato in GigaBlog
Autore Peter Li

Sophisticated computational analyses must be performed on metabolomics data in order to measure the abundances of the metabolites. However, this typically requires expert knowledge in computer programming and biostatistics, restricting the usefulness of metabolomics to specialised laboratories.

Pubblicato in GigaBlog

The 2013 Galaxy Community Conference (GCC2013) and GigaScience are today announcing a call for papers for a special thematic focused series on studies utilizing large-scale datasets and workflows. Galaxy is an open, web-based platform for data intensive biomedical research allowing their growing community of users to reproduce and share analyses.