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GigaBlog
Data driven blogging from the GigaScience editors
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Not only epidemics themselves come in waves, also research into emerging infectious diseases has ups and downs, a Gigascience paper published today reports. The authors at Ben-Gurion University of the Negev analysed more than 35 million papers and explored research (scientometric trends) related to nine different infectious diseases.

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Building an open, community-supported, e-infrastructure for medical metabolomics data. The European Union’s Horizon 2020 research and innovation programme is funding the PhenoMeNal (Phenome and Metabolome aNalysis) project that aims to support data processing and analysis pipelines for molecular phenotype data generated from metabolomics applications.

Published

In support of Brain Awareness Week, we have asked Cameron Craddock, Director of the Computational NeuroImaging Lab, Nathan S. Kline Institute for Psychiatric Research and Director of Imaging, Child Mind Institute, to write a blog highlighting open science in neuroimaging, and to announce our upcoming publication of the 2015 Brainhack Proceedings and the Brainhack Thematic Series.

Published

**The Human Genetics Massive: #ASHG15 in Baltimore ** This week the human genetics “tribe” (as NIH Director Francis Collins referred to “his people” here) have muscled out the Eastside and Westside crews to take over the Baltimore waterfront for the yearly American Society of Human Genetics (#ASHG15) meeting.

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**The Ebola pandemic presents one of the most terrifying world health crises in modern times, with devastating consequences in Western Africa [as this goes to press there are now over 10,000 infections and almost 5,000 deaths]. There is a vast amount of data on this crisis available in rapidly published articles and on the internet (check out PLOS Currents: Outbreaks in particular), including past and current numbers of infected;

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Here we present a guest blog by our Editorial Board Member Russell Poldrack, Professor of Psychology at Stanford University, who highlights the challenges and opportunities surrounding imaging data to enable the neuroscience community to “stand on the shoulders of giants”, and an announcement on our new fMRI series. The sharing of neuroimaging data is an idea whose time has finally come, but many challenges remain.