Studies from University of Edinburgh Update Current Data on Data Infrastructures (Online period estimation and determination of rhythmicity in circadian data, using the BioDare data infrastructure)
By a News Reporter-Staff News Editor at Life Science Weekly -- Investigators discuss new findings in Data Infrastructures. According to news reporting originating from Edinburgh, United Kingdom, by NewsRx correspondents, research stated, "Circadian biology is a major area of research in many species. One of the key objectives of data analysis in this field is to quantify the rhythmic properties of the experimental data."
Our news editors obtained a quote from the research from the University of Edinburgh, "Standalone software such as our earlier Biological Rhythm Analysis Software Suite (BRASS) is widely used. Different parts of the community have settled on different software packages, sometimes for historical reasons. Recent advances in experimental techniques and available computing power have led to an almost exponential growth in the size of the experimental data sets being generated. This, together with the trend towards multinational, multidisciplinary projects and public data dissemination, has led to a requirement to be able to store and share these large data sets. BioDare (Biological Data repository) is an online system which encompasses data storage, data sharing, and processing and analysis. This chapter outlines the description of an experiment for BioDare, how to upload and share the experiment and associated data, and how to process and analyze the data."
According to the news editors, the research concluded: "Functions of BRASS that are not supported in BioDare are also briefly summarized."
For more information on this research see: Online period estimation and determination of rhythmicity in circadian data, using the BioDare data infrastructure. Methods In Molecular Biology, 2014;1158():13-44 (see also Data Infrastructures).
The news editors report that additional information may be obtained by contacting A. Moore, SynthSys, University of Edinburgh, CH Waddington Building, Mayfield Road, Edinburgh, EH9 3JD, UK. Additional authors for this research include T. Zielinski and A.J Millar.
Keywords for this news article include: Europe, Software, Edinburgh, United Kingdom, Data Infrastructures, Information Technology, Information and Data Architecture.
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