Continuous development of numerical methods and software has provided advanced possibilities to solve various problems.
It incorporates their ease-of-use, while providing advanced analytic methods that can be implemented in packages such as Stata, R and SAS by a statistical programmer.
Because the main objective of the method is to provide advance warning for onset of the epidemic, this limitation is less important.
In particular, these Next-Generation Sequencing (NGS) methods provide a unique opportunity to advance studies of non-model plants, including economically important trees with complex genomes such as conifers [ 3- 5].
Moreover, advances in laboratory methods provide quantitative, objective data platforms upon which morphometric image analysis can be founded (Wöhlke et al., 2011).
All of these methods provide similar results.
Direct AST of urine samples has proved to be as effective as standard methods, providing results 24 hours in advance with similar costs [ 130].
(http://www.biomedcentral.com/1752-0509/4/S1/S6). Huang [ 22] et. al. developed an algorithm for protein studies (http://www.biomedcentral.com/1471-2164/11/S3/S14). Wang et. al. [ 18] provided advances in clustering methods in proteins.
Theoretically, TSP can be directly incorporated into the design of assays for most current single-marker SNP genotyping methods to provide enabling advances that simplify assay design and development, increase assay throughput, and improve assay automation and genotyping calling.
The proposed method provides a theoretical support for taking enough safety measures in advance to prevent dangerous consequences of high-pressure storage hydrogen tank during fire test.
