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Online Period Estimation and Determination of Rhythmicity in Circadian Data, Using the BioDare Data Infrastructure

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  • Moore et al. Text

    Submitted manuscript, 76 KB, Word-document

    License: Creative Commons: Attribution (CC-BY)

  • Moore et al. draft Figures

    Submitted manuscript, 17 MB, application/x-zip-compressed

    License: Creative Commons: Attribution (CC-BY)

Original languageEnglish
Title of host publicationPlant Circadian Networks
Subtitle of host publicationMethods and Protocols
EditorsDorothee Staiger
PublisherSpringer New York
Pages13-44
Number of pages32
Volume1158
ISBN (Electronic)978-1-4939-0700-7
ISBN (Print)978-1-4939-0699-4
DOIs
StatePublished - 2014

Publication series

NameMethods in Molecular Biology
PublisherSpringer New York
Volume1158
ISSN (Print)1064-3745

Abstract

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. 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 multi-national, multi-disciplinary 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 analyse the data. Functions of BRASS that are not supported in BioDare are also briefly summarised.

Research areas

  • Circadian Clocks, Time series analysis, data management, biological rhythms

ID: 15164746