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The ligase chain reaction (LCR) is a method of DNA amplification. The ligase chain reaction (LCR) is an amplification process that differs from polymerase chain reaction (PCR) in that it involves a thermostable ligase to join two probes or other molecules together which can then be amplified by standard PCR cycling. [ 1 ]
Furthermore, the union or intersection of the results of the search on a query sequence can be obtained. A Neural Network webserver, named LCR-hound has been developed to predict the function of prokaryotic and eukaryotic LCRs, based on their amino acid or di-amino acid ( bigram ) content.
The ion source converts and fragments the neutral sample molecules into gas-phase ions that are sent to the mass analyzer. While the mass analyzer applies the electric and magnetic fields to sort the ions by their masses, the detector measures and amplifies the ion current to calculate the abundances of each mass-resolved ion.
In enzymology, a leucoanthocyanidin reductase (EC 1.17.1.3) (LAR, aka leucocyanidin reductase or LCR) is an enzyme that catalyzes the chemical reaction (2R,3S)-catechin + NADP + + H 2 O ⇌ {\displaystyle \rightleftharpoons } 2,3-trans-3,4-cis-leucocyanidin + NADPH + H +
The lower the value of the calculated entropy, the more homogeneous the region is in terms of amino acid content. In addition, a Neural Network webserver, LCR-hound has been developed to predict the function of an LCR, based on its amino acid or di-amino acid ( bigram ) content. [ 8 ]
An LCR meter is a type of electronic test equipment used to measure the inductance (L), capacitance (C), and resistance (R) of an electronic component. [1] In the simpler versions of this instrument the impedance was measured internally and converted for display to the corresponding capacitance or inductance value.
The resulting signals and corresponding spiked silver concentrations are plotted, with concentration on the x-axis and the signal on the y-axis. A regression line is calculated through least squares analysis and the x-intercept of the line is determined by the ratio of the y-intercept and the slope of the regression line. This x-intercept ...
The matrix can have a considerable effect on the way the analysis is conducted and the quality of the results are obtained; such effects are called matrix effects. [2] For example, the ionic strength of the solution can have an effect on the activity coefficients of the analytes.