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In this article, hyperpolarized noble gas image SNRs of different encoding methods are compared theoretically using a matrix description of the encoding process.
The first version of ensemble quantum computer simulator (enQC-lator) is based on density matrix description of the NMR and models the implementation of quantum computation in a NMR spectrometer.
Our microscopic, spatially resolved model combines a density matrix description of the optoelectronic properties of quantum well gain media with the full-time-domain Maxwell equations for the electromagnetic (i.e. the coupled electric and magnetic) field dynamics.
For example, the current release of MatBase (version 8.0) contains 1,751 human TF for which there is a position weight matrix description of the binding site for only 728.
In the former case, the methods are usually based on a matrix description of the Markov process and thus primarily limited by the size of the system.
The output was matched with the most likely TFBS using the MatInspector program Release 7.7.3.1 comprised of a large library and matrix description of known plant-specific cis-elements and their cognate regulators.
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Using the MATCH algorithm [ 60] and position weight matrix descriptions of binding sequences, the upstream region of each gene is searched for TFBSs.
PAINT uses the TRANSFAC® database [ 14] of transcription factors and position weight matrix descriptions of cis-acting sequences and an associated pattern matching tool MATCH [ 15] to identify statistically over-represented regulatory sites in 5' upstream sequences of related genes.
For the overall matrix description to be used, dimensions of all matrices in final equations must be equal, and therefore the virtual shield wires are created.
To analyze gene promoters, we used the web-based Genomatix software (Genomatix, Ann Harbor, Michigan, USA; ), which is a bioinformatics tool that utilizes a large library of matrix descriptions for known transcription factor binding sites and algorithms to locate matches in DNA sequences.
This can be done with the adjacency matrix description.
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