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Tim Keighley

Researcher at Macquarie University

Publications -  21
Citations -  543

Tim Keighley is an academic researcher from Macquarie University. The author has contributed to research in topics: EWMA chart & Nutrient density. The author has an hindex of 11, co-authored 20 publications receiving 492 citations. Previous affiliations of Tim Keighley include Commonwealth Scientific and Industrial Research Organisation.

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Journal ArticleDOI

Proteomic analysis indicates massive changes in metabolism prior to the inhibition of growth and photosynthesis of grapevine ( Vitis vinifera L.) in response to water deficit

TL;DR: Proteomic responses to water deficit were dynamic with early, significant changes in abundance of proteins involved in translation, energy, antioxidant defense and steroid metabolism, indicating massive and substantial changes in plant metabolism that appear to funnel carbon and energy into antioxidant defenses in the very early stages of plant response to water deficits before any significant injury.
Journal ArticleDOI

Shotgun Proteomic Analysis of Long-distance Drought Signaling in Rice Roots

TL;DR: Quantitative label-free shotgun proteomic analysis of four different root tissues resulted in identification of 1487 nonredundant proteins, with nearly 900 proteins present in triplicate in each treatment.
Book ChapterDOI

Label-free quantitative shotgun proteomics using normalized spectral abundance factors.

TL;DR: This chapter describes how to go from peptide to spectrum matching in a shotgun proteomics experiment using the XTandem algorithm, to simultaneous quantification of up to thousands of proteins, using normalized spectral abundance factors.
Journal ArticleDOI

Remote access methods for exploratory data analysis and statistical modelling: Privacy-Preserving Analytics ®

TL;DR: The alternative approach of using a remote analysis server which does not enable any data release, but instead is designed to deliver useful results of user-specified statistical analyses with a low risk of disclosure is discussed.
Journal ArticleDOI

Early warning CUSUM plans for surveillance of negative binomial daily disease counts

TL;DR: This work demonstrates the practical application of the ‘optimal’ CUSUM plans to daily counts of laboratory-notified influenza and Ross River virus diagnoses, with particular emphasis on the steady-state situation.