Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 70,260 bioRxiv papers from 306,797 authors.
Community-driven data analysis training for biology
Mallory Ann Freeberg,
Gildas Le Corguillé,
Florian Christoph Sigloch,
Galaxy Training Network,
Posted 29 Nov 2017
bioRxiv DOI: 10.1101/225680 (published DOI: 10.1016/j.cels.2018.05.012)
Posted 29 Nov 2017
The primary problem with the explosion of biomedical datasets is not the data itself, not computational resources, and not the required storage space, but the general lack of trained and skilled researchers to manipulate and analyze these data. Eliminating this problem requires development of comprehensive educational resources. Here we present a community-driven framework that enables modern, interactive teaching of data analytics in life sciences and facilitates the development of training materials. The key feature of our system is that it is not a static but a continuously improved collection of tutorials. By coupling tutorials with a web-based analysis framework, biomedical researchers can learn by performing computation themselves through a web-browser without the need to install software or search for example datasets. Our ultimate goal is to expand the breadth of training materials to include fundamental statistical and data science topics and to precipitate a complete re-engineering of undergraduate and graduate curricula in life sciences.
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