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Since Fourier analysis yields only a time mean spectrum of a data series, we perform wavelet analysis to reveal more accurate information on the periodicities and their temporal evolution.
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The 2-D spectrum of a complete scene data can be obtained by integrating the BPTRS over all the point target spectra [41, 42]: H f a, f = ∬ S f a, f, t 0 T, r 0 T d t 0 T d r 0 T (36).
Analysis of these spectra yielded a data set of 116 bondomers of β-glucans and proteinogenic amino acids from the hairy roots.
Circular dichroism (CD) spectra were collected from 190 to 250 nm as an average of five spectra, with a data pitch of 1 nm.
Here, we describe a generic approach that provides for the integration of a diverse spectrum of data resources into a unified analysis framework, Galaxy (http://usegalaxy.org).org
There is a growing trend for these evolving information systems to implement regional networks [ 16] and allow physician- or patient- access to clinical information, as well as integration of a broader spectrum of patient data.
It is based on a spectrum of national data, including: (i) the extent of the coastal, island and archipelagic State, and that of the non independent spaces; (ii) the population; (iii) the coast length; (iv) the extent of the exclusive economic zone ; (v) the land coastline pressure indicator; and (vi) the coastal human pressure indicator.
Diagnostics in the form of protein assays provide a spectrum of clinical data, including information on acute events such as forecasting of coronary diseases, myocardial infarction, and cancer (Anderson 2010).
These analyses rely on a spectrum of molecular data ranging from rDNA sequences [ 6- 16], mitochondrial protein sequences [ 17- 19], single nuclear protein-encoding genes [ 20, 21], Hox genes [ 22, 23], multiple nuclear protein-encoding sequences [ 24, 25] and phylogenomic approaches [ 26- 34].
The Mediterranean is a region with a broad spectrum of proxy data, both in time and space that allow climate reconstructions over the past centuries.
Figure 3 provides a high-level view of the major exposure concepts (root classes) in ExO that are not currently represented among available ontologies and how these concepts can be integrated into a knowledge system with a broader spectrum of biological data.
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