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Following a brief summary of the three main isotope techniques used in environmental studies: dating, tracing and source identification, a number of applications are considered.
Before this identification, a number of his paintings had been attributed to Jan van Eyck, but became identified with Christus after Waagen established him as a distinct and separate master.
To help identification, a number of DNA sequences were also obtained from Cnidaria sampled by plankton net off Plymouth Englandd) and Stonehaven (Scotland).
For peptide identification, a number of commercial and non-commercial database search tools [ 3- 6] have been developed to rank the PSMs based on scoring functions and report top-scored ones as target PSMs.
Prior to exporting the MS/MS output files to MASCOT (www.matrixscience.com) for protein identification, a number of criteria were employed to filter the data including: (i) peptide features with ANOVA<0.05 between experimental groups; (ii) mass peaks (features) with charge states from +2, +3; and (iii) greater than one isotope per peptide [ 55].
Prior to exporting the MS/MS output files to MASCOT (http://www.matrixscience.com) for protein identification, a number of criteria were employed to filter the data including: (i) peptide features with ANOVA <0.05 between experimental groups, (ii) mass peaks (features) with charge states from +2, +3, and (iii) greater than one isotope per peptide.
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Methylome analysis was also employed (See Materials and Methods) which allowed for the identification of a number of distinct methylation recognition sequences (Table 5).
During the rebrand process, we were fortunate to create a formal identification of a number of "persona" who use and rely on DA.
This led to the identification of a number of variants of Pol ß that synthesized DNA inaccurately.
This resulted in the identification of a number of representative stations according to the different scales.
A business and engineering data analysis is conducted which results in identification of a number of detailed data management requirements.
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