Latest posts

From function “unknown” to “known”: First papers in our Automated Function Prediction series

- April 28, 2014

Editors: Mark Wass (University of Kent, UK), Iddo Friedberg (Miami University, Oxford, Ohio, USA), Predrag Radivojac (Indiana University, Bloomington, Indiana, USA) A key to understanding life at the molecular level is based on accurate protein annotation at the functional level. However, due to the explosion of genomic sequencing data an inherent difficulty and expense exists […]

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Guest posting: Many journals have determined that they can assist in data sharing

- April 23, 2014

Today we have a guest posting from F1000’s Iain Hrynaszkiewicz covering the topic of medical data sharing One of the world’s most influential medical journals recently highlighted data sharing as an important issue to be addressed if we are to improve the quality of reporting of biomedical research. However, the journal may have overlooked strong […]

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Q&A on dynamic documents

- April 16, 2014

At GigaScience one of our major goals is to take the scientific publishing beyond dead trees and static PDFs to a more dynamic and interactive process, much like science itself has embraced the Internet to become more networked and data driven. One way we have done this is by enabling the histories and analyses from […]

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CARMEN, reproducible research and push-button papers

- March 26, 2014

Researchers release a treasure trove of data on the developing retina, pushing the boundaries of neuroscience publishing by presenting it dynamically and reproducibly. A new paper in GigaScience today demonstrates a major step forward for reproducible research and public data-sharing in the neurosciences with the publication and release of a huge cache of electrophysiology data […]

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Having a finger on the pulse of data citation

- February 28, 2014

Endorsing Data Citation Nicely timed for the Data Citation Principles workshop at the IDCC meeting in San Francisco yesterday, the finalized Joint Declaration of Data Citation Principles has just been posted on the Force11 website. We of course endorse these, as data citation is an area we have been promoting and practicing since our formation, […]

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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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GigaScience goes CC4. A handy cut out and keep guide to our licenses

- December 19, 2013

We want you to use our stuff We get many queries regarding the policies and licenses associated with our content and supporting data, and as our co-publishers BioMed Central have just announced the migration of their licenses (including ours) to the newly released version 4.0 of the creative commons CC-BY attribution license, we thought it […]

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Moving pictures of the Microbiome in GigaScience

- November 27, 2013

Visualizations are becoming increasing important to graphically illustrate, understand, and glean insight from the explosion of larger and larger datasets in this supposed era of “big data”. Microbial ecology and the study of the microbiome is revolutionizing how we look at health, microorganism diversity and ecological interactions, but these studies are proving challenging to deal […]

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Calling all papers for the Automated Function Prediction series

- November 18, 2013

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. This is a thematic series of research from the meeting […]

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