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Coupled with the powerful HTS or selection methods, gene engineering has been widely applied to solve problems in protein engineering.

These include for example growth factors, monoclonal antibodies, gene knockdown methods, gene therapy, surgical transplantations and tissue engineering.

They also possess virtues that help to ameliorate a problem of rapidly growing magnitude in the analysis of complex living systems: that the data produced by high-throughput methods ("gene chips") have very high error rates.

This review covers published studies and emerging approaches on the choice of targets, selection and engineering methods, gene and protein delivery options, and testing of candidates in cell and animal models.

A total of 452 genes were found to be differentially expressed as determined using the following criteria: the expression levels in cancer and the corresponding control tissue show at least 2-fold change, and the statistical significance, P-value, of having this level of expression change is <0.05 (see Material and Methods; gene names are listed in Table S1).

Methods: Gene expression profiling microarray was carried out on secondary imatinib resistant patients.

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This finding also supports the view that irrespective of varieties and the methods (gene-chip or in-silico) adopted for predicting SFPs, there will always be some common variation between japonica&indica varieties as evidenced by significantly higher number of common SFPs when two independently analyzed common polymorphism (Table 6b&c) were compared (Table 6d).

The network edges were ignored (Additional File 1 - Supplementary methods: Gene-set approaches - median expression).

Methods: Gene-expression profiles were determined in RRMS patients before and at 3 months after initiation of GA treatment using Affimetrix (U133A-2) microarrays containing 14,500 well-characterized human genes.

Two methods, gene-specific PCR amplification of wheat NTL DNAs and BLAST searches against the mapped wheat genomic sequences (genome survey sequences and the completed reference sequence of chromosome 3B) [ 35], were performed to determine the chromosomal localizations of wheat ATG6 members.

Phylogenetic profiles method, gene neighbors method and gene fusions method were adopted to construct the genome context networks [41].

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