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Data driven blogging from the GigaScience editors
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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.

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Editors: Mark Wass (University of Kent, UK), Iddo Friedberg (Miami University, Oxford, Ohio, USA), Predrag Radivojac (Indiana University, Bloomington, Indiana, USA) Last July, GigaScience and the organisers of the Automated Function Prediction special interest group at ISMB announced an upcoming series on Automated Function Prediction.

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Big Data Publishing (credit Jenny Cham, CC-BY) As mentioned in our previous posting, on top of the many great talks and sessions we attended at ISMB in Berlin last month, we were kept even busy helping to organize and present in a special Beyond-the-PDF inspired “What Bioinformaticians need to know about digital publishing beyond the PDF” workshop.

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**Editors: Mark Wass (University of Kent, UK), Iddo Friedberg (Miami University, Oxford, Ohio, USA), Predrag Radivojac (Indiana University, Bloomington, Indiana, USA)**To tie in with the upcoming Automated Function Prediction Special Interest Group (AFP-SIG) at the ISMB/ECCB 2013 meeting in Berlin, GigaScience and the organisers are launching a call for submissions to a thematic series of research from the meeting and beyond

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The speed of data Last week was the Bio-IT World Asia meeting in Singapore, and while we didn’t attend this year (see last years conference report in Genome Biology ), our editorial board member Tin-Lap Lee presented on the GigaGalaxy server that we have been collaborating with him on (see slides). Also timed for the meeting, Aspera made a press release on our recent adoption of their suite of software products to

Published

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.